This is the source code developed during the research of multimodal deep learning architectures for hepatocarcinoma computer-aided diagnosis. The research was done during my master course at UFCSPA, in PPG-TIGSaude.
The datasets used in the research were downloaded from TCIA Project, and are listed below:
- Erickson BJ, Kirk S, Lee Y, Bathe O, Kearns M, Gerdes C, Lemmerman J. TCGA-LIHC - The Cancer Genome Atlas Liver Hepatocellular Carcinoma [TCGA-LIHC] collection. 2017. https://doi.org/10.7937/K9/TCIA.2016.IMMQW8UQ. https://wiki.cancerimagingarchive.net/display/Public/TCGA-LIHC#49e04d416a274e2c9a1218c4350512e9.
- Linehan, M., Gautam, R., Kirk, S., Lee, Y., Roche, C., Bonaccio, E., Jarosz, R.: Radiology Data from The Cancer Genome Atlas Cervical Kidney renal papillary cell carcinoma [KIRP] collection (2016). https://doi.org/10.7937/K9/TCIA.2016.ACWOGBEF. https://wiki.cancerimagingarchive.net/display/Public/TCGA-KIRP#a34f742158a14169822d8a6efc79a063
- Lucchesi FR, Aredes ND. Radiology Data from The Cancer Genome Atlas Stomach Adenocarcinoma [TCGA-STAD] collection. (2016. https://doi.org/10.7937/K9/TCIA.2016.GDHL9KIM. https://wiki.cancerimagingarchive.net/display/Public/TCGA-STAD#83f2a7e42a374981b8085c22815065d6
- National Cancer Institute Clinical Proteomic Tumor Analysis Consortium: Radiology Data from the Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma [CPTAC-PDA] Collection (2018). https://doi.org/10.7937/k9/tcia.2018.sc20fo18. https://wiki.cancerimagingarchive.net/display/Public/CPTAC-PDA#81570df507e4478e83710196b5b1f6c1.
Therefore, the authors acknowledge the National Cancer Institute and the Foundation for the National Institutes of Health, and their critical role in the creation of the free publicly available TCGA-LIHC, TCGA-KIRP, TCGA-STAD and CPTAC-PDA Databases used in this study.