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@CellTrackingChallenge

CTC

A collection of open source code related to the cell/nucleus segmentation and tracking, motivated by the Cell Tracking Challenge.
README.md

Welcome!

You can find here resources relevant to the Cell Tracking Challenge, in particular:

This site is maintained by Vladimir Ulman on behalf of the Organizers

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  1. fiji-plugins fiji-plugins Public

    Front-end Fiji plugins that make accessible the CTC measures.

    Java 1

  2. java-ctcmetrics java-ctcmetrics Public

    Java implementation of measures for quantitative evaluation of biomedical tracking in general.

    Java 2 1

  3. 2021-edition-available-colabs 2021-edition-available-colabs Public

    Colab Notebooks implementing training and inference for the methods of several contestants participating in the 2021 CTC edition, in order to fulfill the reusability criteria

    Jupyter Notebook 8 1

  4. py-ctcmetrics py-ctcmetrics Public

    Cell Tracking metrics and tools for the CellTrackingChallenge as described in 'CHOTA: A Higher Order Accuracy Metric for Cell Tracking'

    Python 23 3

  5. label-fusion-ng label-fusion-ng Public

    Generalized Fiji Tool for Automatic Fusion of Segmentation and Tracking Labels

    Java

  6. mastodon-ctc mastodon-ctc Public

    Forked from mastodon-sc/mastodon-ctc

    Mastodon plugins to import from and export to (not only) the CellTrackingChallenge format

    Java

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