Summary
Mappings of tumor-infiltrating lymphocytes (TILs), based on H&E images from 13 of The Cancer Genome Atlas (TCGA) tumor types are available here. These TIL maps are derived through computational staining, using a convolutional neural network trained to classify patches of images. In addition to the TIL Maps, the analysis codes and the software used to extract TILs are also available. The accompanying paper contains detailed information about our methods and our findings. The source histopathology, molecular correlates and clinical data used in this study can be found on the Genomic Data Commons. More information about the tools used to generate these results can be found on the QuIP Software Stack and TIL Classification Software pages. Answers to commonly asked questions about these data are contained in this FAQs document.
TCGA Tumor Types Used in this Study
- BLCA Bladder urothelial carcinoma
- BRCA Breast invasive carcinoma
- CESC Cervical squamous cell carcinoma and endocervical adenocarcinoma
- COAD Colon adenocarcinoma
- LUAD Lung adenocarcinoma
- LUSC Lung squamous cell carcinoma
- PAAD Pancreatic adenocarcinoma
- PRAD Prostate adenocarcinoma
- READ Rectum adenocarcinoma
- SKCM Skin Cutaneous Melanoma
- STAD Stomach adenocarcinoma
- UCEC Uterine Corpus Endometrial Carcinoma
- UVM Uveal Melanoma
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Download
Note: Please contact help@cancerimagingarchive.net with any questions regarding usage.
- TIL Maps
- Software
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(You can have an illustrative figure here
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