TotalSegmentator.ipynb

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        "<a href=\"https://colab.research.google.com/github/ayyucedemirbas/Medical_Img_Seg/blob/main/TotalSegmentator.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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          "text": [
            "Collecting TotalSegmentator\n",
            "  Downloading TotalSegmentator-2.4.0-py3-none-any.whl.metadata (972 bytes)\n",
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            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting nnunetv2>=2.2.1 (from TotalSegmentator)\n",
            "  Downloading nnunetv2-2.5.1.tar.gz (196 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m197.0/197.0 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting rt-utils (from TotalSegmentator)\n",
            "  Downloading rt_utils-1.2.7-py2.py3-none-any.whl.metadata (7.5 kB)\n",
            "Collecting dicom2nifti (from TotalSegmentator)\n",
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            "  Downloading acvl_utils-0.2.tar.gz (18 kB)\n",
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            "  Downloading batchgenerators-0.25.tar.gz (61 kB)\n",
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            "Collecting imagecodecs (from nnunetv2>=2.2.1->TotalSegmentator)\n",
            "  Downloading imagecodecs-2024.9.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (20 kB)\n",
            "Collecting yacs (from nnunetv2>=2.2.1->TotalSegmentator)\n",
            "  Downloading yacs-0.1.8-py3-none-any.whl.metadata (639 bytes)\n",
            "Collecting batchgeneratorsv2>=0.2 (from nnunetv2>=2.2.1->TotalSegmentator)\n",
            "  Downloading batchgeneratorsv2-0.2.1.tar.gz (34 kB)\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
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            "Collecting pydicom>=2.2.0 (from dicom2nifti->TotalSegmentator)\n",
            "  Downloading pydicom-3.0.1-py3-none-any.whl.metadata (9.4 kB)\n",
            "Collecting python-gdcm (from dicom2nifti->TotalSegmentator)\n",
            "  Downloading python_gdcm-3.0.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.7 kB)\n",
            "Collecting pathos>=0.2.5 (from p-tqdm->TotalSegmentator)\n",
            "  Downloading pathos-0.3.3-py3-none-any.whl.metadata (11 kB)\n",
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            "Collecting dataclasses (from rt-utils->TotalSegmentator)\n",
            "  Downloading dataclasses-0.6-py3-none-any.whl.metadata (3.0 kB)\n",
            "Collecting connected-components-3d (from acvl-utils<0.3,>=0.2->nnunetv2>=2.2.1->TotalSegmentator)\n",
            "  Downloading connected_components_3d-3.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (31 kB)\n",
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            "Installing collected packages: xvfbwrapper, SimpleITK, linecache2, dataclasses, argparse, yacs, traceback2, python-gdcm, pydicom, ppft, pox, imagecodecs, dill, connected-components-3d, unittest2, rt-utils, multiprocess, dicom2nifti, pathos, fft-conv-pytorch, dynamic-network-architectures, batchgenerators, p-tqdm, batchgeneratorsv2, acvl-utils, nnunetv2, TotalSegmentator\n",
            "Successfully installed SimpleITK-2.4.0 TotalSegmentator-2.4.0 acvl-utils-0.2 argparse-1.4.0 batchgenerators-0.25 batchgeneratorsv2-0.2.1 connected-components-3d-3.18.0 dataclasses-0.6 dicom2nifti-2.5.0 dill-0.3.9 dynamic-network-architectures-0.3.1 fft-conv-pytorch-1.2.0 imagecodecs-2024.9.22 linecache2-1.0.0 multiprocess-0.70.17 nnunetv2-2.5.1 p-tqdm-1.4.2 pathos-0.3.3 pox-0.3.5 ppft-1.7.6.9 pydicom-3.0.1 python-gdcm-3.0.24.1 rt-utils-1.2.7 traceback2-1.4.0 unittest2-1.1.0 xvfbwrapper-0.2.9 yacs-0.1.8\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "argparse",
                  "dataclasses"
                ]
              },
              "id": "1dc46cab53fd41328400341133cf5b61"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "!pip install TotalSegmentator"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir masks"
      ],
      "metadata": {
        "id": "n1BFwzkVvfgl"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir masks2"
      ],
      "metadata": {
        "id": "JFYX-tyZWVV3"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!TotalSegmentator \\\n",
        "-i /content/Anonymized_20240929.zip \\\n",
        "-o /content/masks \\\n",
        "-ot 'nifti' \\\n",
        "-rs spleen liver stomach pancreas \\\n",
        "--nr_thr_saving 1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p0xY2LqEvcSc",
        "outputId": "31d32c58-12ac-46fc-fc73-333268236918"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "If you use this tool please cite: https://pubs.rsna.org/doi/10.1148/ryai.230024\n",
            "\n",
            "Generating rough segmentation for cropping...\n",
            "Converting dicom to nifti...\n",
            "  found image with shape (512, 512, 361)\n",
            "Resampling...\n",
            "  Resampled in 4.54s\n",
            "Predicting...\n",
            "/usr/local/lib/python3.10/dist-packages/nnunetv2/inference/predict_from_raw_data.py:84: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  checkpoint = torch.load(join(model_training_output_dir, f'fold_{f}', checkpoint_name),\n",
            "100% 1/1 [00:01<00:00,  1.03s/it]\n",
            "  Predicted in 9.68s\n",
            "Resampling...\n",
            "Converting dicom to nifti...\n",
            "  found image with shape (512, 512, 361)\n",
            "  cropping from (512, 512, 361) to (504, 316, 258)\n",
            "Resampling...\n",
            "  Resampled in 2.39s\n",
            "Predicting part 1 of 1 ...\n",
            "/usr/local/lib/python3.10/dist-packages/nnunetv2/inference/predict_from_raw_data.py:84: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  checkpoint = torch.load(join(model_training_output_dir, f'fold_{f}', checkpoint_name),\n",
            "100% 2/2 [00:02<00:00,  1.16s/it]\n",
            "  Predicted in 14.19s\n",
            "Resampling...\n",
            "Saving segmentations...\n",
            "  Saved in 6.01s\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os"
      ],
      "metadata": {
        "id": "x7t--8hFwlKj"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip /content/Anonymized_20240929.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "LSbtWkjjwyrT",
        "outputId": "c6ff229c-d98b-4382-a30f-2a871d698fdc"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  /content/Anonymized_20240929.zip\n",
            " extracting: series-00000/image-00216.dcm  \n",
            " extracting: series-00000/image-00159.dcm  \n",
            " extracting: series-00000/image-00269.dcm  \n",
            " extracting: series-00000/image-00357.dcm  \n",
            " extracting: series-00000/image-00124.dcm  \n",
            " extracting: series-00000/image-00150.dcm  \n",
            " extracting: series-00000/image-00187.dcm  \n",
            " extracting: series-00000/image-00129.dcm  \n",
            " extracting: series-00000/image-00115.dcm  \n",
            " extracting: series-00000/image-00223.dcm  \n",
            " extracting: series-00000/image-00350.dcm  \n",
            " extracting: series-00000/image-00260.dcm  \n",
            " extracting: series-00000/image-00209.dcm  \n",
            " extracting: series-00000/image-00206.dcm  \n",
            " extracting: series-00000/image-00005.dcm  \n",
            " extracting: series-00000/image-00121.dcm  \n",
            " extracting: series-00000/image-00046.dcm  \n",
            " extracting: series-00000/image-00014.dcm  \n",
            " extracting: series-00000/image-00175.dcm  \n",
            " extracting: series-00000/image-00163.dcm  \n",
            " extracting: series-00000/image-00170.dcm  \n",
            " extracting: series-00000/image-00067.dcm  \n",
            " extracting: series-00000/image-00122.dcm  \n",
            " extracting: series-00000/image-00281.dcm  \n",
            " extracting: series-00000/image-00025.dcm  \n",
            " extracting: series-00000/image-00052.dcm  \n",
            " extracting: series-00000/image-00078.dcm  \n",
            " extracting: series-00000/image-00186.dcm  \n",
            " extracting: series-00000/image-00356.dcm  \n",
            " extracting: series-00000/image-00283.dcm  \n",
            " extracting: series-00000/image-00237.dcm  \n",
            " extracting: series-00000/image-00094.dcm  \n",
            " extracting: series-00000/image-00291.dcm  \n",
            " extracting: series-00000/image-00065.dcm  \n",
            " extracting: series-00000/image-00346.dcm  \n",
            " extracting: series-00000/image-00257.dcm  \n",
            " extracting: series-00000/image-00256.dcm  \n",
            " extracting: series-00000/image-00103.dcm  \n",
            " extracting: series-00000/image-00267.dcm  \n",
            " extracting: series-00000/image-00093.dcm  \n",
            " extracting: series-00000/image-00162.dcm  \n",
            " extracting: series-00000/image-00074.dcm  \n",
            " extracting: series-00000/image-00202.dcm  \n",
            " extracting: series-00000/image-00184.dcm  \n",
            " extracting: series-00000/image-00323.dcm  \n",
            " extracting: series-00000/image-00332.dcm  \n",
            " extracting: series-00000/image-00011.dcm  \n",
            " extracting: series-00000/image-00288.dcm  \n",
            " extracting: series-00000/image-00043.dcm  \n",
            " extracting: series-00000/image-00038.dcm  \n",
            " extracting: series-00000/image-00056.dcm  \n",
            " extracting: series-00000/image-00329.dcm  \n",
            " extracting: series-00000/image-00120.dcm  \n",
            " extracting: series-00000/image-00151.dcm  \n",
            " extracting: series-00000/image-00228.dcm  \n",
            " extracting: series-00000/image-00317.dcm  \n",
            " extracting: series-00000/image-00358.dcm  \n",
            " extracting: series-00000/image-00278.dcm  \n",
            " extracting: series-00000/image-00075.dcm  \n",
            " extracting: series-00000/image-00166.dcm  \n",
            " extracting: series-00000/image-00254.dcm  \n",
            " extracting: series-00000/image-00016.dcm  \n",
            " extracting: series-00000/image-00101.dcm  \n",
            " extracting: series-00000/image-00171.dcm  \n",
            " extracting: series-00000/image-00039.dcm  \n",
            " extracting: series-00000/image-00064.dcm  \n",
            " extracting: series-00000/image-00062.dcm  \n",
            " extracting: series-00000/image-00222.dcm  \n",
            " extracting: series-00000/image-00071.dcm  \n",
            " extracting: series-00000/image-00299.dcm  \n",
            " extracting: series-00000/image-00326.dcm  \n",
            " extracting: series-00000/image-00207.dcm  \n",
            " extracting: series-00000/image-00068.dcm  \n",
            " extracting: series-00000/image-00360.dcm  \n",
            " extracting: series-00000/image-00286.dcm  \n",
            " extracting: series-00000/image-00310.dcm  \n",
            " extracting: series-00000/image-00057.dcm  \n",
            " extracting: series-00000/image-00337.dcm  \n",
            " extracting: series-00000/image-00241.dcm  \n",
            " extracting: series-00000/image-00116.dcm  \n",
            " extracting: series-00000/image-00219.dcm  \n",
            " extracting: series-00000/image-00107.dcm  \n",
            " extracting: series-00000/image-00248.dcm  \n",
            " extracting: series-00000/image-00096.dcm  \n",
            " extracting: series-00000/image-00263.dcm  \n",
            " extracting: series-00000/image-00006.dcm  \n",
            " extracting: series-00000/image-00199.dcm  \n",
            " extracting: series-00000/image-00084.dcm  \n",
            " extracting: series-00000/image-00290.dcm  \n",
            " extracting: series-00000/image-00341.dcm  \n",
            " extracting: series-00000/image-00112.dcm  \n",
            " extracting: series-00000/image-00158.dcm  \n",
            " extracting: series-00000/image-00079.dcm  \n",
            " extracting: series-00000/image-00252.dcm  \n",
            " extracting: series-00000/image-00239.dcm  \n",
            " extracting: series-00000/image-00314.dcm  \n",
            " extracting: series-00000/image-00017.dcm  \n",
            " extracting: series-00000/image-00300.dcm  \n",
            " extracting: series-00000/image-00143.dcm  \n",
            " extracting: series-00000/image-00251.dcm  \n",
            " extracting: series-00000/image-00307.dcm  \n",
            " extracting: series-00000/image-00144.dcm  \n",
            " extracting: series-00000/image-00339.dcm  \n",
            " extracting: series-00000/image-00139.dcm  \n",
            " extracting: series-00000/image-00105.dcm  \n",
            " extracting: series-00000/image-00220.dcm  \n",
            " extracting: series-00000/image-00211.dcm  \n",
            " extracting: series-00000/image-00022.dcm  \n",
            " extracting: series-00000/image-00033.dcm  \n",
            " extracting: series-00000/image-00108.dcm  \n",
            " extracting: series-00000/image-00335.dcm  \n",
            " extracting: series-00000/image-00059.dcm  \n",
            " extracting: series-00000/image-00189.dcm  \n",
            " extracting: series-00000/image-00060.dcm  \n",
            " extracting: series-00000/image-00333.dcm  \n",
            " extracting: series-00000/image-00010.dcm  \n",
            " extracting: series-00000/image-00271.dcm  \n",
            " extracting: series-00000/image-00051.dcm  \n",
            " extracting: series-00000/image-00316.dcm  \n",
            " extracting: series-00000/image-00054.dcm  \n",
            " extracting: series-00000/image-00106.dcm  \n",
            " extracting: series-00000/image-00090.dcm  \n",
            " extracting: series-00000/image-00224.dcm  \n",
            " extracting: series-00000/image-00003.dcm  \n",
            " extracting: series-00000/image-00142.dcm  \n",
            " extracting: series-00000/image-00304.dcm  \n",
            " extracting: series-00000/image-00136.dcm  \n",
            " extracting: series-00000/image-00359.dcm  \n",
            " extracting: series-00000/image-00195.dcm  \n",
            " extracting: series-00000/image-00255.dcm  \n",
            " extracting: series-00000/image-00111.dcm  \n",
            " extracting: series-00000/image-00330.dcm  \n",
            " extracting: series-00000/image-00109.dcm  \n",
            " extracting: series-00000/image-00072.dcm  \n",
            " extracting: series-00000/image-00181.dcm  \n",
            " extracting: series-00000/image-00135.dcm  \n",
            " extracting: series-00000/image-00100.dcm  \n",
            " extracting: series-00000/image-00018.dcm  \n",
            " extracting: series-00000/image-00169.dcm  \n",
            " extracting: series-00000/image-00077.dcm  \n",
            " extracting: series-00000/image-00284.dcm  \n",
            " extracting: series-00000/image-00087.dcm  \n",
            " extracting: series-00000/image-00152.dcm  \n",
            " extracting: series-00000/image-00354.dcm  \n",
            " extracting: series-00000/image-00200.dcm  \n",
            " extracting: series-00000/image-00102.dcm  \n",
            " extracting: series-00000/image-00085.dcm  \n",
            " extracting: series-00000/image-00238.dcm  \n",
            " extracting: series-00000/image-00245.dcm  \n",
            " extracting: series-00000/image-00214.dcm  \n",
            " extracting: series-00000/image-00227.dcm  \n",
            " extracting: series-00000/image-00240.dcm  \n",
            " extracting: series-00000/image-00172.dcm  \n",
            " extracting: series-00000/image-00141.dcm  \n",
            " extracting: series-00000/image-00119.dcm  \n",
            " extracting: series-00000/image-00048.dcm  \n",
            " extracting: series-00000/image-00196.dcm  \n",
            " extracting: series-00000/image-00113.dcm  \n",
            " extracting: series-00000/image-00311.dcm  \n",
            " extracting: series-00000/image-00099.dcm  \n",
            " extracting: series-00000/image-00047.dcm  \n",
            " extracting: series-00000/image-00063.dcm  \n",
            " extracting: series-00000/image-00352.dcm  \n",
            " extracting: series-00000/image-00334.dcm  \n",
            " extracting: series-00000/image-00009.dcm  \n",
            " extracting: series-00000/image-00327.dcm  \n",
            " extracting: series-00000/image-00089.dcm  \n",
            " extracting: series-00000/image-00318.dcm  \n",
            " extracting: series-00000/image-00295.dcm  \n",
            " extracting: series-00000/image-00055.dcm  \n",
            " extracting: series-00000/image-00155.dcm  \n",
            " extracting: series-00000/image-00008.dcm  \n",
            " extracting: series-00000/image-00313.dcm  \n",
            " extracting: series-00000/image-00168.dcm  \n",
            " extracting: series-00000/image-00180.dcm  \n",
            " extracting: series-00000/image-00080.dcm  \n",
            " extracting: series-00000/image-00342.dcm  \n",
            " extracting: series-00000/image-00276.dcm  \n",
            " extracting: series-00000/image-00032.dcm  \n",
            " extracting: series-00000/image-00004.dcm  \n",
            " extracting: series-00000/image-00259.dcm  \n",
            " extracting: series-00000/image-00138.dcm  \n",
            " extracting: series-00000/image-00050.dcm  \n",
            " extracting: series-00000/image-00349.dcm  \n",
            " extracting: series-00000/image-00232.dcm  \n",
            " extracting: series-00000/image-00273.dcm  \n",
            " extracting: series-00000/image-00344.dcm  \n",
            " extracting: series-00000/image-00130.dcm  \n",
            " extracting: series-00000/image-00164.dcm  \n",
            " extracting: series-00000/image-00127.dcm  \n",
            " extracting: series-00000/image-00076.dcm  \n",
            " extracting: series-00000/image-00148.dcm  \n",
            " extracting: series-00000/image-00088.dcm  \n",
            " extracting: series-00000/image-00197.dcm  \n",
            " extracting: series-00000/image-00198.dcm  \n",
            " extracting: series-00000/image-00294.dcm  \n",
            " extracting: series-00000/image-00289.dcm  \n",
            " extracting: series-00000/image-00179.dcm  \n",
            " extracting: series-00000/image-00167.dcm  \n",
            " extracting: series-00000/image-00188.dcm  \n",
            " extracting: series-00000/image-00270.dcm  \n",
            " extracting: series-00000/image-00250.dcm  \n",
            " extracting: series-00000/image-00191.dcm  \n",
            " extracting: series-00000/image-00258.dcm  \n",
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            " extracting: series-00000/image-00355.dcm  \n",
            " extracting: series-00000/image-00029.dcm  \n",
            " extracting: series-00000/image-00194.dcm  \n",
            " extracting: series-00000/image-00301.dcm  \n",
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            " extracting: series-00000/image-00019.dcm  \n",
            " extracting: series-00000/image-00233.dcm  \n",
            " extracting: series-00000/image-00319.dcm  \n",
            " extracting: series-00000/image-00306.dcm  \n",
            " extracting: series-00000/image-00217.dcm  \n",
            " extracting: series-00000/image-00037.dcm  \n",
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            " extracting: series-00000/image-00204.dcm  \n",
            " extracting: series-00000/image-00338.dcm  \n",
            " extracting: series-00000/image-00296.dcm  \n",
            " extracting: series-00000/image-00041.dcm  \n",
            " extracting: series-00000/image-00031.dcm  \n",
            " extracting: series-00000/image-00201.dcm  \n",
            " extracting: series-00000/image-00030.dcm  \n",
            " extracting: series-00000/image-00275.dcm  \n",
            " extracting: series-00000/image-00156.dcm  \n",
            " extracting: series-00000/image-00012.dcm  \n",
            " extracting: series-00000/image-00026.dcm  \n",
            " extracting: series-00000/image-00246.dcm  \n",
            " extracting: series-00000/image-00070.dcm  \n",
            " extracting: series-00000/image-00058.dcm  \n",
            " extracting: series-00000/image-00203.dcm  \n",
            " extracting: series-00000/image-00145.dcm  \n",
            " extracting: series-00000/image-00297.dcm  \n",
            " extracting: series-00000/image-00045.dcm  \n",
            " extracting: series-00000/image-00036.dcm  \n",
            " extracting: series-00000/image-00347.dcm  \n",
            " extracting: series-00000/image-00114.dcm  \n",
            " extracting: series-00000/image-00132.dcm  \n",
            " extracting: series-00000/image-00024.dcm  \n",
            " extracting: series-00000/image-00279.dcm  \n",
            " extracting: series-00000/image-00287.dcm  \n",
            " extracting: series-00000/image-00174.dcm  \n",
            " extracting: series-00000/image-00322.dcm  \n",
            " extracting: series-00000/image-00226.dcm  \n",
            " extracting: series-00000/image-00305.dcm  \n",
            " extracting: series-00000/image-00292.dcm  \n",
            " extracting: series-00000/image-00215.dcm  \n",
            " extracting: series-00000/image-00040.dcm  \n",
            " extracting: series-00000/image-00331.dcm  \n",
            " extracting: series-00000/image-00340.dcm  \n",
            " extracting: series-00000/image-00118.dcm  \n",
            " extracting: series-00000/image-00249.dcm  \n",
            " extracting: series-00000/image-00176.dcm  \n",
            " extracting: series-00000/image-00044.dcm  \n",
            " extracting: series-00000/image-00104.dcm  \n",
            " extracting: series-00000/image-00140.dcm  \n",
            " extracting: series-00000/image-00243.dcm  \n",
            " extracting: series-00000/image-00110.dcm  \n",
            " extracting: series-00000/image-00182.dcm  \n",
            " extracting: series-00000/image-00285.dcm  \n",
            " extracting: series-00000/image-00247.dcm  \n",
            " extracting: series-00000/image-00013.dcm  \n",
            " extracting: series-00000/image-00348.dcm  \n",
            " extracting: series-00000/image-00086.dcm  \n",
            " extracting: series-00000/image-00324.dcm  \n",
            " extracting: series-00000/image-00066.dcm  \n",
            " extracting: series-00000/image-00021.dcm  \n",
            " extracting: series-00000/image-00272.dcm  \n",
            " extracting: series-00000/image-00134.dcm  \n",
            " extracting: series-00000/image-00137.dcm  \n",
            " extracting: series-00000/image-00028.dcm  \n",
            " extracting: series-00000/image-00123.dcm  \n",
            " extracting: series-00000/image-00000.dcm  \n",
            " extracting: series-00000/image-00117.dcm  \n",
            " extracting: series-00000/image-00242.dcm  \n",
            " extracting: series-00000/image-00302.dcm  \n",
            " extracting: series-00000/image-00225.dcm  \n",
            " extracting: series-00000/image-00208.dcm  \n",
            " extracting: series-00000/image-00126.dcm  \n",
            " extracting: series-00000/image-00082.dcm  \n",
            " extracting: series-00000/image-00177.dcm  \n",
            " extracting: series-00000/image-00092.dcm  \n",
            " extracting: series-00000/image-00125.dcm  \n",
            " extracting: series-00000/image-00083.dcm  \n",
            " extracting: series-00000/image-00192.dcm  \n",
            " extracting: series-00000/image-00308.dcm  \n",
            " extracting: series-00000/image-00095.dcm  \n",
            " extracting: series-00000/image-00274.dcm  \n",
            " extracting: series-00000/image-00027.dcm  \n",
            " extracting: series-00000/image-00315.dcm  \n",
            " extracting: series-00000/image-00293.dcm  \n",
            " extracting: series-00000/image-00244.dcm  \n",
            " extracting: series-00000/image-00061.dcm  \n",
            " extracting: series-00000/image-00321.dcm  \n",
            " extracting: series-00000/image-00091.dcm  \n",
            " extracting: series-00000/image-00183.dcm  \n",
            " extracting: series-00000/image-00002.dcm  \n",
            " extracting: series-00000/image-00153.dcm  \n",
            " extracting: series-00000/image-00165.dcm  \n",
            " extracting: series-00000/image-00351.dcm  \n",
            " extracting: series-00000/image-00098.dcm  \n",
            " extracting: series-00000/image-00073.dcm  \n",
            " extracting: series-00000/image-00173.dcm  \n",
            " extracting: series-00000/image-00280.dcm  \n",
            " extracting: series-00000/image-00345.dcm  \n",
            " extracting: series-00000/image-00218.dcm  \n",
            " extracting: series-00000/image-00328.dcm  \n",
            " extracting: series-00000/image-00212.dcm  \n",
            " extracting: series-00000/image-00193.dcm  \n",
            " extracting: series-00000/image-00097.dcm  \n",
            " extracting: series-00000/image-00268.dcm  \n",
            " extracting: series-00000/image-00213.dcm  \n",
            " extracting: series-00000/image-00190.dcm  \n",
            " extracting: series-00000/image-00128.dcm  \n",
            " extracting: series-00000/image-00185.dcm  \n",
            " extracting: series-00000/image-00049.dcm  \n",
            " extracting: series-00000/image-00231.dcm  \n",
            " extracting: series-00000/image-00146.dcm  \n",
            " extracting: series-00000/image-00020.dcm  \n",
            " extracting: series-00000/image-00042.dcm  \n",
            " extracting: series-00000/image-00253.dcm  \n",
            " extracting: series-00000/image-00147.dcm  \n",
            " extracting: series-00000/image-00336.dcm  \n",
            " extracting: series-00000/image-00210.dcm  \n",
            " extracting: series-00000/image-00154.dcm  \n",
            " extracting: series-00000/image-00069.dcm  \n",
            " extracting: series-00000/image-00001.dcm  \n",
            " extracting: series-00000/image-00262.dcm  \n",
            " extracting: series-00000/image-00229.dcm  \n",
            " extracting: series-00000/image-00053.dcm  \n",
            " extracting: series-00000/image-00353.dcm  \n",
            " extracting: series-00000/image-00261.dcm  \n",
            " extracting: series-00000/image-00160.dcm  \n",
            " extracting: series-00000/image-00325.dcm  \n",
            " extracting: series-00000/image-00023.dcm  \n",
            " extracting: series-00000/image-00081.dcm  \n",
            " extracting: series-00000/image-00007.dcm  \n",
            " extracting: series-00000/image-00015.dcm  \n",
            " extracting: series-00000/image-00266.dcm  \n",
            " extracting: series-00000/image-00205.dcm  \n",
            " extracting: series-00000/image-00035.dcm  \n",
            " extracting: series-00000/image-00230.dcm  \n",
            " extracting: series-00000/image-00343.dcm  \n",
            " extracting: series-00000/image-00320.dcm  \n",
            " extracting: series-00000/image-00264.dcm  \n",
            " extracting: series-00000/image-00282.dcm  \n",
            " extracting: series-00000/image-00157.dcm  \n",
            " extracting: series-00000/image-00277.dcm  \n",
            " extracting: series-00000/image-00235.dcm  \n",
            " extracting: series-00000/image-00131.dcm  \n",
            " extracting: series-00000/image-00303.dcm  \n",
            " extracting: series-00000/image-00221.dcm  \n",
            " extracting: series-00000/image-00234.dcm  \n",
            " extracting: series-00000/image-00312.dcm  \n",
            " extracting: series-00000/image-00161.dcm  \n",
            " extracting: series-00000/image-00034.dcm  \n",
            " extracting: series-00000/image-00309.dcm  \n",
            " extracting: series-00000/image-00265.dcm  \n",
            " extracting: series-00000/image-00178.dcm  \n",
            " extracting: series-00000/image-00133.dcm  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import pydicom\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Function to load and display a DICOM file\n",
        "def show_dicom_image(file_path):\n",
        "    # Load the DICOM file\n",
        "    dicom_image = pydicom.dcmread(file_path)\n",
        "\n",
        "    # Get the pixel array from the DICOM file\n",
        "    pixel_array = dicom_image.pixel_array\n",
        "\n",
        "    # Plot the image using matplotlib\n",
        "    plt.imshow(pixel_array, cmap=plt.cm.gray)\n",
        "    plt.axis('off')  # Turn off axis labels\n",
        "    plt.title(f\"{os.path.basename(file_path)}\")\n",
        "    plt.show()\n",
        "\n",
        "# Function to iterate through all .dcm files in a directory\n",
        "def visualize_dicom_files(directory_path):\n",
        "    # List all files in the directory\n",
        "    for root, dirs, files in os.walk(directory_path):\n",
        "        for file in files:\n",
        "            if file.endswith(\".dcm\"):\n",
        "                file_path = os.path.join(root, file)\n",
        "                show_dicom_image(file_path)\n",
        "\n",
        "\n",
        "\n",
        "# Specify the directory containing DICOM files\n",
        "dicom_directory = '/content/series-00000'\n",
        "\n",
        "# Call the function to visualize all DICOM files in the directory\n",
        "visualize_dicom_files(dicom_directory)\n"
      ],
      "metadata": {
        "id": "FH-6eusOTAIG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import nibabel as nib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# Function to load and visualize all slices of a NIfTI (.nii.gz) file\n",
        "def show_nii_slices(file_path):\n",
        "    # Load the NIfTI file\n",
        "    img = nib.load(file_path)\n",
        "\n",
        "    # Get the data as a numpy array\n",
        "    img_data = img.get_fdata()\n",
        "\n",
        "    # Number of slices in the z-axis\n",
        "    num_slices = img_data.shape[2]\n",
        "\n",
        "    # Plot all slices\n",
        "    for i in range(num_slices):\n",
        "        plt.imshow(img_data[:, :, i], cmap='gray')\n",
        "        plt.title(f'Slice {i+1}/{num_slices}')\n",
        "        plt.axis('off')  # Hide the axes\n",
        "        plt.show()\n",
        "\n",
        "\n",
        "# Specify the path to the .nii.gz file\n",
        "nii_file_path = '/content/masks/spleen.nii.gz'\n",
        "\n",
        "# Call the function to visualize all slices\n",
        "show_nii_slices(nii_file_path)\n"
      ],
      "metadata": {
        "collapsed": true,
        "id": "ek8lB9kkUGo1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import pydicom\n",
        "import nibabel as nib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# Function to load and display the 350th DICOM file\n",
        "def load_dicom_slice(dicom_directory, slice_index):\n",
        "    # List all files in the directory\n",
        "    dicom_files = [os.path.join(dicom_directory, f) for f in os.listdir(dicom_directory) if f.endswith('.dcm')]\n",
        "    dicom_files.sort()  # Sort to ensure consistent ordering\n",
        "\n",
        "    # Load the DICOM file corresponding to the slice index (350th)\n",
        "    dicom_file = dicom_files[slice_index - 1]\n",
        "    dicom_image = pydicom.dcmread(dicom_file)\n",
        "\n",
        "    # Get the pixel array from the DICOM file\n",
        "    pixel_array = dicom_image.pixel_array\n",
        "    return pixel_array\n",
        "\n",
        "# Function to load the 350th slice from a NIfTI file (segmentation mask)\n",
        "def load_nii_segmentation(nii_file_path, slice_index):\n",
        "    # Load the NIfTI file\n",
        "    img = nib.load(nii_file_path)\n",
        "\n",
        "    # Get the data as a numpy array\n",
        "    img_data = img.get_fdata()\n",
        "\n",
        "    # Return the slice corresponding to the slice index (350th)\n",
        "    seg_slice = img_data[:, :, slice_index - 1]\n",
        "    return seg_slice\n",
        "\n",
        "# Function to overlap DICOM and segmentation mask\n",
        "def overlay_images(dicom_slice, seg_slice):\n",
        "    # Normalize both images to [0, 1] for visualization purposes\n",
        "    dicom_norm = (dicom_slice - np.min(dicom_slice)) / (np.max(dicom_slice) - np.min(dicom_slice))\n",
        "    seg_mask = seg_slice.astype(bool)  # Convert segmentation to boolean mask\n",
        "\n",
        "    # Create an RGB image for overlaying: DICOM as grayscale, segmentation as red\n",
        "    overlay = np.zeros((dicom_norm.shape[0], dicom_norm.shape[1], 3))\n",
        "    overlay[:, :, 0] = dicom_norm  # Red channel for the segmentation\n",
        "    overlay[:, :, 1] = dicom_norm  # Green channel for the DICOM\n",
        "    overlay[:, :, 2] = dicom_norm  # Blue channel for the DICOM\n",
        "    overlay[seg_mask, 0] = 1  # Make segmentation region red\n",
        "\n",
        "    return overlay\n",
        "\n",
        "# Function to visualize DICOM, segmentation, and overlap side by side\n",
        "def visualize_side_by_side(dicom_slice, seg_slice, overlay):\n",
        "    fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
        "\n",
        "    # Display DICOM slice\n",
        "    axes[0].imshow(dicom_slice, cmap='gray')\n",
        "    axes[0].set_title('DICOM Slice')\n",
        "    axes[0].axis('off')\n",
        "\n",
        "    # Display segmentation slice\n",
        "    axes[1].imshow(seg_slice, cmap='gray')\n",
        "    axes[1].set_title('Segmentation Slice')\n",
        "    axes[1].axis('off')\n",
        "\n",
        "    # Display overlay\n",
        "    axes[2].imshow(overlay)\n",
        "    axes[2].set_title('Overlay')\n",
        "    axes[2].axis('off')\n",
        "\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "\n",
        "# Paths to DICOM directory and NIfTI file\n",
        "dicom_directory = '/content/series-00000'\n",
        "nii_file_path = '/content/masks/stomach.nii.gz'\n",
        "\n",
        "# Load 350th slice from both DICOM and NIfTI\n",
        "dicom_slice_350 = load_dicom_slice(dicom_directory, 360)\n",
        "seg_slice_350 = load_nii_segmentation(nii_file_path, 360)\n",
        "\n",
        "# Create the overlay image\n",
        "overlay_image = overlay_images(dicom_slice_350, seg_slice_350)\n",
        "\n",
        "# Visualize all three images side by side\n",
        "visualize_side_by_side(dicom_slice_350, seg_slice_350, overlay_image)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "-hjkDAgwVSWJ",
        "outputId": "ea98f140-95cb-48c3-dab0-08ac73723b97"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import pydicom\n",
        "import nibabel as nib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# Function to load and display the 350th DICOM file\n",
        "def load_dicom_slice(dicom_directory, slice_index):\n",
        "    # List all files in the directory\n",
        "    dicom_files = [os.path.join(dicom_directory, f) for f in os.listdir(dicom_directory) if f.endswith('.dcm')]\n",
        "    dicom_files.sort()  # Sort to ensure consistent ordering\n",
        "\n",
        "    # Load the DICOM file corresponding to the slice index (350th)\n",
        "    dicom_file = dicom_files[slice_index - 1]\n",
        "    dicom_image = pydicom.dcmread(dicom_file)\n",
        "\n",
        "    # Get the pixel array from the DICOM file\n",
        "    pixel_array = dicom_image.pixel_array\n",
        "    return pixel_array\n",
        "\n",
        "# Function to load the 350th slice from a NIfTI file (segmentation mask)\n",
        "def load_nii_segmentation(nii_file_path, slice_index):\n",
        "    # Load the NIfTI file\n",
        "    img = nib.load(nii_file_path)\n",
        "\n",
        "    # Get the data as a numpy array\n",
        "    img_data = img.get_fdata()\n",
        "\n",
        "    # Return the slice corresponding to the slice index (350th)\n",
        "    seg_slice = img_data[:, :, slice_index - 1]\n",
        "    return seg_slice\n",
        "\n",
        "# Function to overlap DICOM and segmentation mask\n",
        "def overlay_images(dicom_slice, seg_slice):\n",
        "    # Normalize both images to [0, 1] for visualization purposes\n",
        "    dicom_norm = (dicom_slice - np.min(dicom_slice)) / (np.max(dicom_slice) - np.min(dicom_slice))\n",
        "    seg_mask = seg_slice.astype(bool)  # Convert segmentation to boolean mask\n",
        "\n",
        "    # Create an RGB image for overlaying: DICOM as grayscale, segmentation as red\n",
        "    overlay = np.zeros((dicom_norm.shape[0], dicom_norm.shape[1], 3))\n",
        "    overlay[:, :, 0] = dicom_norm  # Red channel for the segmentation\n",
        "    overlay[:, :, 1] = dicom_norm  # Green channel for the DICOM\n",
        "    overlay[:, :, 2] = dicom_norm  # Blue channel for the DICOM\n",
        "    overlay[seg_mask, 0] = 1  # Make segmentation region red\n",
        "\n",
        "    return overlay\n",
        "\n",
        "# Function to visualize DICOM, segmentation, and overlap side by side\n",
        "def visualize_side_by_side(dicom_slice, seg_slice, overlay):\n",
        "    fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
        "\n",
        "    # Display DICOM slice\n",
        "    axes[0].imshow(dicom_slice, cmap='gray')\n",
        "    axes[0].set_title('DICOM Slice')\n",
        "    axes[0].axis('off')\n",
        "\n",
        "    # Display segmentation slice\n",
        "    axes[1].imshow(seg_slice, cmap='gray')\n",
        "    axes[1].set_title('Segmentation Slice')\n",
        "    axes[1].axis('off')\n",
        "\n",
        "    # Display overlay\n",
        "    axes[2].imshow(overlay)\n",
        "    axes[2].set_title('Overlay')\n",
        "    axes[2].axis('off')\n",
        "\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "\n",
        "# Paths to DICOM directory and NIfTI file\n",
        "dicom_directory = '/content/series-00000'\n",
        "nii_file_path = '/content/masks/pancreas.nii.gz'\n",
        "\n",
        "# Load 350th slice from both DICOM and NIfTI\n",
        "dicom_slice_350 = load_dicom_slice(dicom_directory, 310)\n",
        "seg_slice_350 = load_nii_segmentation(nii_file_path, 310)\n",
        "\n",
        "# Create the overlay image\n",
        "overlay_image = overlay_images(dicom_slice_350, seg_slice_350)\n",
        "\n",
        "# Visualize all three images side by side\n",
        "visualize_side_by_side(dicom_slice_350, seg_slice_350, overlay_image)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "znr-Fa3Gaak4",
        "outputId": "747626b2-3aa4-4ab0-c857-5053045fa672"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import pydicom\n",
        "import nibabel as nib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# Function to load and display the 350th DICOM file\n",
        "def load_dicom_slice(dicom_directory, slice_index):\n",
        "    # List all files in the directory\n",
        "    dicom_files = [os.path.join(dicom_directory, f) for f in os.listdir(dicom_directory) if f.endswith('.dcm')]\n",
        "    dicom_files.sort()  # Sort to ensure consistent ordering\n",
        "\n",
        "    # Load the DICOM file corresponding to the slice index (350th)\n",
        "    dicom_file = dicom_files[slice_index - 1]\n",
        "    dicom_image = pydicom.dcmread(dicom_file)\n",
        "\n",
        "    # Get the pixel array from the DICOM file\n",
        "    pixel_array = dicom_image.pixel_array\n",
        "    return pixel_array\n",
        "\n",
        "# Function to load the 350th slice from a NIfTI file (segmentation mask)\n",
        "def load_nii_segmentation(nii_file_path, slice_index):\n",
        "    # Load the NIfTI file\n",
        "    img = nib.load(nii_file_path)\n",
        "\n",
        "    # Get the data as a numpy array\n",
        "    img_data = img.get_fdata()\n",
        "\n",
        "    # Return the slice corresponding to the slice index (350th)\n",
        "    seg_slice = img_data[:, :, slice_index - 1]\n",
        "    return seg_slice\n",
        "\n",
        "# Function to overlap DICOM and segmentation mask\n",
        "def overlay_images(dicom_slice, seg_slice):\n",
        "    # Normalize both images to [0, 1] for visualization purposes\n",
        "    dicom_norm = (dicom_slice - np.min(dicom_slice)) / (np.max(dicom_slice) - np.min(dicom_slice))\n",
        "    seg_mask = seg_slice.astype(bool)  # Convert segmentation to boolean mask\n",
        "\n",
        "    # Create an RGB image for overlaying: DICOM as grayscale, segmentation as red\n",
        "    overlay = np.zeros((dicom_norm.shape[0], dicom_norm.shape[1], 3))\n",
        "    overlay[:, :, 0] = dicom_norm  # Red channel for the segmentation\n",
        "    overlay[:, :, 1] = dicom_norm  # Green channel for the DICOM\n",
        "    overlay[:, :, 2] = dicom_norm  # Blue channel for the DICOM\n",
        "    overlay[seg_mask, 0] = 1  # Make segmentation region red\n",
        "\n",
        "    return overlay\n",
        "\n",
        "# Function to visualize DICOM, segmentation, and overlap side by side\n",
        "def visualize_side_by_side(dicom_slice, seg_slice, overlay):\n",
        "    fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
        "\n",
        "    # Display DICOM slice\n",
        "    axes[0].imshow(dicom_slice, cmap='gray')\n",
        "    axes[0].set_title('DICOM Slice')\n",
        "    axes[0].axis('off')\n",
        "\n",
        "    # Display segmentation slice\n",
        "    axes[1].imshow(seg_slice, cmap='gray')\n",
        "    axes[1].set_title('Segmentation Slice')\n",
        "    axes[1].axis('off')\n",
        "\n",
        "    # Display overlay\n",
        "    axes[2].imshow(overlay)\n",
        "    axes[2].set_title('Overlay')\n",
        "    axes[2].axis('off')\n",
        "\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "\n",
        "# Paths to DICOM directory and NIfTI file\n",
        "dicom_directory = '/content/series-00000'\n",
        "nii_file_path = '/content/masks/liver.nii.gz'\n",
        "\n",
        "# Load 350th slice from both DICOM and NIfTI\n",
        "dicom_slice_350 = load_dicom_slice(dicom_directory, 360)\n",
        "seg_slice_350 = load_nii_segmentation(nii_file_path, 360)\n",
        "\n",
        "# Create the overlay image\n",
        "overlay_image = overlay_images(dicom_slice_350, seg_slice_350)\n",
        "\n",
        "# Visualize all three images side by side\n",
        "visualize_side_by_side(dicom_slice_350, seg_slice_350, overlay_image)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "zN1RFs70co8o",
        "outputId": "93b9186d-2007-45c2-f8aa-fa92a574f940"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import pydicom\n",
        "import nibabel as nib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# Function to load and display the 350th DICOM file\n",
        "def load_dicom_slice(dicom_directory, slice_index):\n",
        "    # List all files in the directory\n",
        "    dicom_files = [os.path.join(dicom_directory, f) for f in os.listdir(dicom_directory) if f.endswith('.dcm')]\n",
        "    dicom_files.sort()  # Sort to ensure consistent ordering\n",
        "\n",
        "    # Load the DICOM file corresponding to the slice index (350th)\n",
        "    dicom_file = dicom_files[slice_index - 1]\n",
        "    dicom_image = pydicom.dcmread(dicom_file)\n",
        "\n",
        "    # Get the pixel array from the DICOM file\n",
        "    pixel_array = dicom_image.pixel_array\n",
        "    return pixel_array\n",
        "\n",
        "# Function to load the 350th slice from a NIfTI file (segmentation mask)\n",
        "def load_nii_segmentation(nii_file_path, slice_index):\n",
        "    # Load the NIfTI file\n",
        "    img = nib.load(nii_file_path)\n",
        "\n",
        "    # Get the data as a numpy array\n",
        "    img_data = img.get_fdata()\n",
        "\n",
        "    # Return the slice corresponding to the slice index (350th)\n",
        "    seg_slice = img_data[:, :, slice_index - 1]\n",
        "    return seg_slice\n",
        "\n",
        "# Function to overlap DICOM and segmentation mask\n",
        "def overlay_images(dicom_slice, seg_slice):\n",
        "    # Normalize both images to [0, 1] for visualization purposes\n",
        "    dicom_norm = (dicom_slice - np.min(dicom_slice)) / (np.max(dicom_slice) - np.min(dicom_slice))\n",
        "    seg_mask = seg_slice.astype(bool)  # Convert segmentation to boolean mask\n",
        "\n",
        "    # Create an RGB image for overlaying: DICOM as grayscale, segmentation as red\n",
        "    overlay = np.zeros((dicom_norm.shape[0], dicom_norm.shape[1], 3))\n",
        "    overlay[:, :, 0] = dicom_norm  # Red channel for the segmentation\n",
        "    overlay[:, :, 1] = dicom_norm  # Green channel for the DICOM\n",
        "    overlay[:, :, 2] = dicom_norm  # Blue channel for the DICOM\n",
        "    overlay[seg_mask, 0] = 1  # Make segmentation region red\n",
        "\n",
        "    return overlay\n",
        "\n",
        "# Function to visualize DICOM, segmentation, and overlap side by side\n",
        "def visualize_side_by_side(dicom_slice, seg_slice, overlay):\n",
        "    fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
        "\n",
        "    # Display DICOM slice\n",
        "    axes[0].imshow(dicom_slice, cmap='gray')\n",
        "    axes[0].set_title('DICOM Slice')\n",
        "    axes[0].axis('off')\n",
        "\n",
        "    # Display segmentation slice\n",
        "    axes[1].imshow(seg_slice, cmap='gray')\n",
        "    axes[1].set_title('Segmentation Slice')\n",
        "    axes[1].axis('off')\n",
        "\n",
        "    # Display overlay\n",
        "    axes[2].imshow(overlay)\n",
        "    axes[2].set_title('Overlay')\n",
        "    axes[2].axis('off')\n",
        "\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "\n",
        "# Paths to DICOM directory and NIfTI file\n",
        "dicom_directory = '/content/series-00000'\n",
        "nii_file_path = '/content/masks/spleen.nii.gz'\n",
        "\n",
        "# Load 350th slice from both DICOM and NIfTI\n",
        "dicom_slice_350 = load_dicom_slice(dicom_directory, 360)\n",
        "seg_slice_350 = load_nii_segmentation(nii_file_path, 360)\n",
        "\n",
        "# Create the overlay image\n",
        "overlay_image = overlay_images(dicom_slice_350, seg_slice_350)\n",
        "\n",
        "# Visualize all three images side by side\n",
        "visualize_side_by_side(dicom_slice_350, seg_slice_350, overlay_image)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 340
        },
        "id": "Xn5-vjzCczUD",
        "outputId": "5f78b039-0d2b-4e94-b01f-f4b2c4ff154a"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!TotalSegmentator \\\n",
        "-i /content/s1.zip \\\n",
        "-o /content/masks2 \\\n",
        "-ot 'nifti' \\\n",
        "-rs brain \\\n",
        "--nr_thr_saving 1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kLJNd9IgWg8I",
        "outputId": "2e5b7e13-2af9-4943-9a39-52fd298763e8"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "If you use this tool please cite: https://pubs.rsna.org/doi/10.1148/ryai.230024\n",
            "\n",
            "Generating rough segmentation for cropping...\n",
            "Converting dicom to nifti...\n",
            "Image orientations not consistent through all slices\n",
            "---------------------------------------------------------\n",
            "[1. 0. 0.] [1. 0. 0.]\n",
            "[0.         0.99812263 0.06124683] [0. 1. 0.]\n",
            "---------------------------------------------------------\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/TotalSegmentator\", line 8, in <module>\n",
            "    sys.exit(main())\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/totalsegmentator/bin/TotalSegmentator.py\", line 138, in main\n",
            "    totalsegmentator(args.input, args.output, args.ml, args.nr_thr_resamp, args.nr_thr_saving,\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/totalsegmentator/python_api.py\", line 434, in totalsegmentator\n",
            "    organ_seg, _, _ = nnUNet_predict_image(input, None, crop_model_task, model=\"3d_fullres\", folds=[0],\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/totalsegmentator/nnunet.py\", line 341, in nnUNet_predict_image\n",
            "    dcm_to_nifti(file_in, tmp_dir / \"dcm\" / \"converted_dcm.nii.gz\", tmp_dir, verbose=verbose)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/totalsegmentator/dicom_io.py\", line 131, in dcm_to_nifti\n",
            "    dicom2nifti.dicom_series_to_nifti(input_path, output_path, reorient_nifti=True)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/dicom2nifti/convert_dicom.py\", line 79, in dicom_series_to_nifti\n",
            "    return dicom_array_to_nifti(dicom_input, output_file, reorient_nifti)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/dicom2nifti/convert_dicom.py\", line 119, in dicom_array_to_nifti\n",
            "    results = convert_generic.dicom_to_nifti(dicom_list, output_file)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/dicom2nifti/convert_generic.py\", line 238, in dicom_to_nifti\n",
            "    common.validate_orientation(dicom_input)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/dicom2nifti/common.py\", line 1103, in validate_orientation\n",
            "    raise ConversionValidationError('IMAGE_ORIENTATION_INCONSISTENT')\n",
            "dicom2nifti.exceptions.ConversionValidationError: IMAGE_ORIENTATION_INCONSISTENT\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import nibabel as nib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# Function to load and visualize all slices of a NIfTI (.nii.gz) file\n",
        "def show_nii_slices(file_path):\n",
        "    # Load the NIfTI file\n",
        "    img = nib.load(file_path)\n",
        "\n",
        "    # Get the data as a numpy array\n",
        "    img_data = img.get_fdata()\n",
        "\n",
        "    # Number of slices in the z-axis\n",
        "    num_slices = img_data.shape[2]\n",
        "\n",
        "    # Plot all slices\n",
        "    for i in range(num_slices):\n",
        "        plt.imshow(img_data[:, :, i], cmap='gray')\n",
        "        plt.title(f'Slice {i+1}/{num_slices}')\n",
        "        plt.axis('off')  # Hide the axes\n",
        "        plt.show()\n",
        "\n",
        "\n",
        "# Specify the path to the .nii.gz file\n",
        "nii_file_path = '/content/masks/liver.nii.gz'\n",
        "\n",
        "# Call the function to visualize all slices\n",
        "show_nii_slices(nii_file_path)\n"
      ],
      "metadata": {
        "id": "V5texnReUWTA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "Nfa9Air80ePE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%matplotlib inline"
      ],
      "metadata": {
        "id": "l1qbivBX0k8V"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_load = nib.load('/content/masks/spleen.nii.gz').get_fdata()\n",
        "test_load.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-hQzXY9Z0oYA",
        "outputId": "e1a3b2ad-ec45-4f99-8164-8f06f1108e1e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(512, 512, 361)"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test = test_load[:,:,300]\n",
        "plt.imshow(test)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 435
        },
        "id": "lh6CD_-10v62",
        "outputId": "29e665f7-31b5-4958-cdc4-d7edd15166a8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(5):\n",
        "    plt.subplot(5, 5,i + 1)\n",
        "    plt.imshow(test_load[:,:,355 + i])\n",
        "    plt.gcf().set_size_inches(10, 10)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 154
        },
        "id": "ZOoWyY7R00K-",
        "outputId": "03731cf7-554d-4262-8f7f-4892ecb0920d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 5 Axes>"
            ],
            "image/png": 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Y37783/I4wnfqzFx3iv7e95+654+/V+XyHO27MY/wv+JTU6rXzAvaYYpDl9Ff+Mzu8pneuep3mvbWNn3yq9FyDuoX1u8f6+jvOBq0RlODH6gkdFk8Nkh/1uA58LiEXofoL0a0efB55513tGTJEl100UXNLp83b55eeuklrVixQgUFBdq1a5emTp0auj4QCGjSpElqaGjQ+vXr9fTTT2vZsmW68847274XFvvismT9JntLRL736ESXNg9/Tkt+/pA+f2GA6r81Qq5u3SJyX7Gk2uzX5/pYKfI1u3zhwoX0F0ZdXcma6avQzhmPq/sfPtfOp4bL3aN7RO4rltBfczQYfadqkGNweNFfy3gOjI4T++v8xB5+BgwDhzHGtPZGtbW1Gjp0qBYvXqx77rlHQ4YM0YMPPqjq6mp169ZNzz77rK655hpJUmlpqfr376/CwkKNHj1aL7/8siZPnqxdu3YpKytLkvTEE0/o9ttv1549e+T1ek+6v/r6etXX14f+XVNTo5ycHI3T1XK34UNCw+3zhWO0bfbiqNzXgcARDXtjlvr/9Av5KyrPfAMb8hu/Nuo1XahL9Im2q7PS1EcDtU4r5fF46C+CAiaoC96YqZ7PeZT40sao3GdHE+3+JBo8EQ2e3GCyUvWFPlZZWZn69OnDc2AE0R/H4JZ8/teB2pYX+Y8y4WfAlvlNo9Zppaqrq5Wamnrabdv0ik9+fr4mTZqk8ePHN7u8qKhIjY2NzS7v16+fcnNzVVhYKEkqLCzU4MGDQ8FL0sSJE1VTU6Nt27a1eH+LFi2Sz+cLfeXk5LRl2bbQxZWkHVf8XqU/O0+ujHSrl2OJHdqiDGUrw5F10nXx2F+PgsNaUHFJVO7L5XDqo28s1S2/XaH9N+RJzvj7ZPRo9yfR4Ilo8NQNFhcX8xwYYfTHMbglRw8lKmCCEb+fE38GdPfuFZf9tVerB5/ly5dr8+bNWrRo0UnXVVRUyOv1Ki0trdnlWVlZqqioCG1zYvBN1zdd15KFCxequro69FVeXt7aZUdU5/Kg1h6NXnweh0sl1zys7ff1ljMxMWr32xFUmHLV6IDO1+AWr4/H/hzr39XqTwZE9T6/1/mAHvzFYzr87eFx9bdnVvQn0WBLaPDkBquqqngOjBL64xh8ovN/H9C+4NGo3FfTz4A3/vO1uOsvHFo1+JSXl2vOnDl65plnlBjFH7gTEhKUmpra7Ksj8f15g+a8+72o3meS06viiY/ow6f6yX1OdlxM/XXmiHaqWIM0Uq4w/xHh6XT0/iSpvq7lt0hF0thEp5bc/6AOTxtJfxFGgy2jweigv5bRX3TEQn+u2np96o9eg0lOr6Yk18ZVf+HSqsGnqKhIVVVVGjp0qNxut9xutwoKCvTwww/L7XYrKytLDQ0NOnjwYLPbVVZWKjs7W5KUnZ190hk+mv7dtE0sMu/4dCTYENX79Dk7adOlj+vGN9/Whw+MkEa2/BsYu6jRATWoXhu1VmvNX7XW/FUHtVfl+lDr9D+SFLf99fq9Q1WBw1G/34HeTvrVfUvoL877k2gwGk7V4Bf6WJLUrVu3uG2Q/iKP58BTM9s+0MzFc6J+v/HUX7i0avC54oorVFJSouLi4tDX8OHD9cMf/jD03x6PR2vXrg3dZseOHSorK1NeXp4kKS8vTyUlJaqqqgpts2bNGqWmpmrAgOi+VB1O5/59j/5yKDfq9+tzdtKU5Fp9dO0TGrKkRDUv99Gun46x5WkP05Wp0fqmRml86CtVXZStXA3XOEmK2/68736iUf+YZ8l9X5oo+ovz/iQajIZTNZilnpKkSy65JG4bpL/I4znw1Izfr5x/7NUzhzKift/x0l+4uFuzcefOnTVo0KBmlyUnJysjIyN0+cyZMzV//nylp6crNTVVs2fPVl5enkaPHi1JmjBhggYMGKDp06frvvvuU0VFhe644w7l5+crISEhTLsVfYHSD/XoI1M1847onFmmJb/OKpayilV/UaN+86PBWrH0G5KReqzZp8C2Hcc2cjhU871ROpJ1fOb1HDLq+v+KZBqj+4pVa7kdnpNOnek0LnnkVYqOvfQ9ffr0+OzvwAH1+ltQRRMbNCwh+m/5kM6yvy+ZMRercmSyJOmcgmqZLaf+w/6Ogv5OjwYj71QNunXs/7fP54vfYzD9RRzPgacX3Pmx7nh9miZf9ZB8zk5Rv/+W+ssoqZfntaKor6Uja9PprE80bty40OmspWMfXnXbbbfpL3/5i+rr6zVx4kQtXry42UuYn332mW655RatW7dOycnJmjFjhu6991653Wc3h9XU1Mjn83WoUxlKkuOSgbr5+ZWaklxr9VKaufbjK7T1nxeqxxtH9NGNTj31tWUa1+n42Uc+aqzVt55doD7//a6CR45YuNLW22TWNTuVZmVlpe6+++647E9OlyrmjNIr8+7TOe4Uq1cT0tRfrxf3qaZ/miqm1uvqC9/T/edsliTdUPZ1bVw5WD0Xrbd4pa1nRX8SDbaW3RtsOp11dXW1vF5v3B6D6S/6OAY350pNVc3zXfX2RS9avRRJ0m/299Hjmy/TecscSnz/c5kuqZLTqYpL01Xz9aNK2Jqkc1+oVOCDj6X2jQOWas3prNs9+Fiho0bvcLv1wdLB2nz5Ykum/dM5EmzQ/mCDep7iYHAgcETTbpgds78ZaE307dVR+5Mkd3aWLnlll+7JLDnzxlF0JNigykCDkp0OZbqST7p+3NYpSpjwafQXFibR7E+iwbawc4P0dxz9WYNj8HFVs8bo0fmPamximz4xJiI+99fqqi3/pccHP6Ms11Glu1zyOTupNlinlYd76MnbpilxVex+LlXEP8cHLTN+vy64cbuGrJml2mCd1ctpJsnpPeXQI0l1JihH5E9BjwjzV1Rq8w/66/bKIVYvpZkkp1fneVJaPODDXmgQVqI/WC3z0fX6xc036e+HO86rjj3dKdoyYrlGJ7p0nicl9Mv5FGeirkmp0L4fR//EIFZh8AmzYF2d+s/7UCOenK9PGjvWW95OZ+ZH18rzr61WLwNhEHh/p1Y9PyZm+tvecET7X+lu9TIQRjQIK9EfrOZZU6SfvjDd6mWclVWHM3TuTxh80A6Bg9U6d9EmTXhugbY1ROcDrdrjnr39dOS3PWTq661eCsIk57fH+nvkwLlR+TTptiqur9etH3xfPX7fsd6WgvajQViJ/mApY9TnmQO66P5btawm07JlbKgL6I6qwSd9vXrEo6rAYd29Z4B+/vwPFSj73LI1RhuDT4SYxgb1/tlGTX1mvsr8tR3uifdIsEGvHvHogjev06u/uFQJ/3jH6iUhjJr6e3nqCF21c7L2WvD5FieqN436eeVF+qixVlWBw6oKHNarRzy67tF5Srhyt4KHDlm6PoQfDcJK9AerBbeW6pz712vZvKt18cbvR/1zpqqDR3XTY7O1aVTSSV933jVTY567TRvGdFGvOzfK+P1RXZuVWnU6a7RSMKDe/71F/7UqX5n3f6al566VJ8qf+N7kk8ZavXW0V+jfd70xVf0frdZ5296zZD2IgmBAgR0fyvWdDE3Lm6f//bulmpDUaMlSrtw+TYk3BJWfOVhyHvt9i/NIg87Ztl4xd3YVnD0ahJXoDx1Awsvv6JzXvBr94Hw9MfGpiDX4r7qgPmo4/urSR/VZynmhXP4W3s3je2aDfM9IHetX8tHB4BNhwbo6OQrf1f4ZvTX8Nz/S8OxyPdTzNXVyeOVyRPYFt3rTqD/X5GjpZ2O0d2OWej/wfui6C4++qwBvbYsLgb37lLhqv37S90aNuPY9PdTzNXkcLiVE8Gw4ARPUvuBRXf/hd1RTn6h967OVW75eKj/+cnogYveOjoYGYSX6g9VMY4MumF+sX4+9Tnf/9IB+fv5qXZ5YI5fD0a4Oi+obNG/ndxU0DpmnMuV7dfvxK4NGgUPx8xa2s8XprKPMlZGuumG95b9tnxb1/asu8fqV5Azvh6190lirz/ypmr3kZuW8tEeB7R+E9ft3RJxK8+w09Xewt0e/+slTSnfVapjXFdYh/JPGWs37dJoO/bKnPG9vjYu/HeN0wmePBsOP/s4e/UUGx+DWcVwyUA3dOulwtke33fGsBnorNNDb+o9BmVn2NX3xtbq4eqtaS1rTH6/4RFlg3355Xt2vxHe66FepV+uT6TmqTw+qU69DenfUn9r95PvA/t568a5vyrf+M/XYu0mBxoYwrRx20NRfptutR1ZeLpPu0wfXpSuhb027+wuYoB46cL5evOubSl33gdz7ingLB05Cg7AS/aEjMFu2ySMpzenS06+OVkPf7vrw+x69NukB9XInnXWHQTlkglTWGgw+FgkcOCAdOKCce8olSe4e3TV6Qr7O/fEHujbrHV2bUn3W3+vJ6u7acSRbL/1zlM59uU7Jb/1b8T3740yM3y//7gppd4V63968v3OT9oe2uzCpQjf5drX4PWqDdbp37wgdDXi0eX+Ojj59jjp/Vq/kt/7NWzhwRjQIK9EfOoRgQP6KSjkrKnXhBq+uX3ObGlKc6nJDmQb6doc2y0ncr7ldPlVV4LDu3ztW/qBTX9Sl6Yvf9lVS8N8W7kDs4a1uHYzD7daRSUP1+dSTRxenJ6inRi9TjqtW096dqYMHjn0Q2vlPBuXc+L6Mv1GKvYczLHiZPTwcbrd0wm+aAqMG6KMbT/Gbp1qP+v2fjxU8WC2ZYFy/1M5bjcKHBluP/sKH/tqGY3B4fbVDx8DzVTqnk9x7vDr/7vdkGhrjvrkT8Va3GGb8fnVauVF9V7ZwpcOhe/t9R8bjUtbOT9Wtru747aK3RNjYV59EnW8Xq+/bp96e32oi3GgQVqI/dARf7dAUv68Lbjj23/F4JrZwYvCJJcbExYkKAAAAgHDjA0wBAAAA2B6DDwAAAADbY/ABAAAAYHsMPgAAAABsj8EHAAAAgO0x+AAAAACwPQYfAAAAALbH4AMAAADA9mLyA0yNMZIkvxolY/Fi0CH41SjpeBuRRH/4qmj2d+L90CAk+oP1OAbDSq3pLyYHn3379kmS3tZqi1eCjubQoUPy+XwRvQ/6w6lEoz+JBtEy+oPVOAbDSmfTX0wOPunp6ZKksrKyqDzJR1pNTY1ycnJUXl6u1NRUq5fTblbsjzFGhw4dUvfu3SN+X/TXsdm9P4kGO7po7w/9tQ/9tR/H4Lajv/ZrTX8xOfg4ncf+NMnn89kikiapqansTztE6wmQ/mKDXfuTaDBWRHN/6K/96K99OAa3D/21z9n2x8kNAAAAANgegw8AAAAA24vJwSchIUF33XWXEhISrF5KWLA/scVu+8f+xB677SP7E1vstn/sT2yx2/6xP9HlMNE6/yUAAAAAWCQmX/EBAAAAgNZg8AEAAABgeww+AAAAAGyPwQcAAACA7TH4AAAAALC9mBx8HnvsMfXq1UuJiYkaNWqUNm7caPWSTrJo0SKNGDFCnTt3VmZmpqZMmaIdO3Y026aurk75+fnKyMhQSkqKpk2bpsrKymbblJWVadKkSUpKSlJmZqYWLFggv98fzV05yb333iuHw6G5c+eGLovVfWkL+rP+MYvnBmOhP8neDcZzf1JsNEh/sbEvbUF/1j9mMd2giTHLly83Xq/XPPXUU2bbtm3mxhtvNGlpaaaystLqpTUzceJEs3TpUrN161ZTXFxsrrzySpObm2tqa2tD29x8880mJyfHrF271mzatMmMHj3ajBkzJnS93+83gwYNMuPHjzdbtmwxq1evNl27djULFy60YpeMMcZs3LjR9OrVy1x00UVmzpw5octjcV/agv6sf8ziucFY6c8Y+zYYz/0ZEzsN0l/H35e2oD/rH7NYbzDmBp+RI0ea/Pz80L8DgYDp3r27WbRokYWrOrOqqiojyRQUFBhjjDl48KDxeDxmxYoVoW22b99uJJnCwkJjjDGrV682TqfTVFRUhLZ5/PHHTWpqqqmvr4/uDhhjDh06ZPr27WvWrFljLrvsslDwsbgvbUV/1j5m8d5grPZnjD0ajPf+jIndBumvY+1LW9Efx+D2iqm3ujU0NKioqEjjx48PXeZ0OjV+/HgVFhZauLIzq66uliSlp6dLkoqKitTY2NhsX/r166fc3NzQvhQWFmrw4MHKysoKbTNx4kTV1NRo27ZtUVz9Mfn5+Zo0aVKzNUuxuS9tQX/WP2bx3GAs9yfZo8F47k+K7Qbpr2PtS1vQn/WPmR0adEftnsJg7969CgQCzf6nSVJWVpZKS0stWtWZBYNBzZ07V2PHjtWgQYMkSRUVFfJ6vUpLS2u2bVZWlioqKkLbtLSvTddF0/Lly7V582a98847J10Xa/vSVvRn7WMW7w3Gan+SPRqM9/6k2G2Q/jrWvrQV/XEMDoeYGnxiVX5+vrZu3aq3337b6qW0SXl5uebMmaM1a9YoMTHR6uWglWK9P4kGY12sN0h/sY3+YKVY70+yV4Mx9Va3rl27yuVynXSWiMrKSmVnZ1u0qtObNWuWVq1apTfeeEM9e/YMXZ6dna2GhgYdPHiw2fYn7kt2dnaL+9p0XbQUFRWpqqpKQ4cOldvtltvtVkFBgR5++GG53W5lZWXFzL60B/1Z95jRYGz2J9mjQfo7JhYbpL+OtS/tQX8cg8Mian9NFCYjR440s2bNCv07EAiYHj16dLg/bAsGgyY/P990797d7Ny586Trm/4Q7IUXXghdVlpa2uIfgp14tpIlS5aY1NRUU1dXF/md+FJNTY0pKSlp9jV8+HDzox/9yJSUlMTUvrQX/VnzmNHgMbHSnzH2apD+jouVBumvY+5Le9Efx+D2irnBZ/ny5SYhIcEsW7bMvP/+++amm24yaWlpzc4S0RHccsstxufzmXXr1pndu3eHvo4cORLa5uabbza5ubnm9ddfN5s2bTJ5eXkmLy8vdH3Tqf8mTJhgiouLzSuvvGK6detm+akMjTHNzuZhTGzvS2vQX8d5zOKxwVjpzxj7NxiP/RkTOw3SX+zsS2vQX8d5zGK1wZgbfIwx5pFHHjG5ubnG6/WakSNHmg0bNli9pJNIavFr6dKloW2OHj1qbr31VtOlSxeTlJRkvv3tb5vdu3c3+z6ffvqp+da3vmU6depkunbtam677TbT2NgY5b052VeDj+V9aS366xiPWbw2GAv9GWP/BuO1P2Nio0H6i519aS366xiPWaw26DDGmMi9kQ4AAAAArBdTJzcAAAAAgLZg8AEAAABgeww+AAAAAGyPwQcAAACA7TH4AAAAALA9Bh8AAAAAtsfgAwAAAMD2GHwAAAAA2B6DDwAAAADbY/ABAAAAYHsMPgAAAABs7/8DlKbw21zPMvwAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "STdqOmnWZCh5",
        "outputId": "b035317b-4120-47b2-8a84-a3cf8430e0d7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://www.dicomlibrary.com/"
      ],
      "metadata": {
        "id": "4585hTsJcvex"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "totalsegmentator(\"/content/Anonymized_20240929.zip\", \".\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 551,
          "referenced_widgets": [
            "273bb26698eb4dc1b07675bd9a10ecda",
            "5e89ee3eca3f4e4da1ec3b764ed21029",
            "2c848d65537c47fdbf70bbb409abc139",
            "5819decc8f294decaecc4067fb8a3bbf",
            "63f038af1bb44bf490ad78fc5735c43e",
            "11d6b2ecced5492fa2ef32dc3bec3395",
            "32069f6f467d46d38e7d53ad6c50daa3",
            "7e23b4662fec413aa31461d7908c215a",
            "e64e4da005f8443aa7dd1f97453b7f1a",
            "5afd93ad8a134aaa81bf30a4be09dcb3",
            "c500ae3bab974c2995861aa04f08f2d3"
          ]
        },
        "id": "XgkgBAPNYzf7",
        "outputId": "a9202994-d812-467d-f33c-fc9a479247d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "If you use this tool please cite: https://pubs.rsna.org/doi/10.1148/ryai.230024\n",
            "\n",
            "Converting dicom to nifti...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\rDownloading:  50%|████▉     | 117M/234M [03:46<03:46, 515kB/s] \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  found image with shape (512, 512, 361)\n",
            "Resampling...\n",
            "  Resampled in 5.44s\n",
            "Predicting part 1 of 5 ...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/nnunetv2/inference/predict_from_raw_data.py:84: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  checkpoint = torch.load(join(model_training_output_dir, f'fold_{f}', checkpoint_name),\n",
            "100%|██████████| 4/4 [00:03<00:00,  1.15it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicting part 2 of 5 ...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/nnunetv2/inference/predict_from_raw_data.py:84: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  checkpoint = torch.load(join(model_training_output_dir, f'fold_{f}', checkpoint_name),\n",
            "100%|██████████| 4/4 [00:00<00:00, 13.48it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicting part 3 of 5 ...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 4/4 [00:00<00:00, 16.73it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicting part 4 of 5 ...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 4/4 [00:00<00:00, 14.57it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicting part 5 of 5 ...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 4/4 [00:00<00:00, 80.88it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Predicted in 75.54s\n",
            "Resampling...\n",
            "Saving segmentations...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/117 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "273bb26698eb4dc1b07675bd9a10ecda"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Saved in 110.78s\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<nibabel.nifti1.Nifti1Image at 0x7ce9673bd6f0>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "if __name__ == \"__main__\":\n",
        "    # option 1: provide input and output as file paths\n",
        "    #totalsegmentator(input_path, output_path)\n",
        "\n",
        "    # option 2: provide input and output as nifti image objects\n",
        "    #input_img = nib.load(input_path)\n",
        "    #output_img = totalsegmentator(input_img)\n",
        "    #nib.save(output_img, output_path)"
      ],
      "metadata": {
        "id": "4mOl68dqYmAM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir abdomen_seg"
      ],
      "metadata": {
        "id": "oMGgvqpykrrw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!TotalSegmentator -i /content/Anonymized_20240929.zip -o abdomen_seg --task total"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jHxJJ22WkewE",
        "outputId": "e765e60f-50cb-47e4-b9ea-7ea6f2c06642"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "If you use this tool please cite: https://pubs.rsna.org/doi/10.1148/ryai.230024\n",
            "\n",
            "Converting dicom to nifti...\n",
            "  found image with shape (512, 512, 361)\n",
            "Resampling...\n",
            "  Resampled in 5.74s\n",
            "Predicting part 1 of 5 ...\n",
            "/usr/local/lib/python3.10/dist-packages/nnunetv2/inference/predict_from_raw_data.py:84: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  checkpoint = torch.load(join(model_training_output_dir, f'fold_{f}', checkpoint_name),\n",
            "100% 4/4 [00:02<00:00,  1.41it/s]\n",
            "Predicting part 2 of 5 ...\n",
            "/usr/local/lib/python3.10/dist-packages/nnunetv2/inference/predict_from_raw_data.py:84: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
            "  checkpoint = torch.load(join(model_training_output_dir, f'fold_{f}', checkpoint_name),\n",
            "100% 4/4 [00:00<00:00, 13.28it/s]\n",
            "Predicting part 3 of 5 ...\n",
            "100% 4/4 [00:00<00:00, 14.85it/s]\n",
            "Predicting part 4 of 5 ...\n",
            "100% 4/4 [00:00<00:00, 15.31it/s]\n",
            "Predicting part 5 of 5 ...\n",
            "100% 4/4 [00:00<00:00, 81.92it/s]\n",
            "  Predicted in 151.10s\n",
            "Resampling...\n",
            "Saving segmentations...\n",
            "100% 117/117 [01:49<00:00,  1.06it/s]\n",
            "  Saved in 111.67s\n"
          ]
        }
      ]
    }
  ]
}