Analysis Result AI-derived Tumor Infiltrating Lymphocyte maps for the TCGA collections

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Details

Subject Count: 7600

Primary Site: Adrenal Glands, Bladder, Breast, Cervix, Chest, Chest-Abdomen-Pelvis, Colon, Esophagus, Head-Neck, Intraocular, Kidney, Leg, Liver, Lung, Mesothelium, Ovary, Pancreas, Prostate, Rectum, Skin, Stomach, TSpine, Testicles, Thymus, Uterus

Analysis Artifacts: SEG

Cancer Type(s): Adrenocortical Carcinoma, Bladder Endothelial Carcinoma, Breast Cancer, Cervical Squamous Cell Carcinoma, Colon adenocarcinoma, Cutaneous Melanoma, Endocervical Adenocarcinoma, Esophageal Carcinoma, Head and Neck Squamous Cell Carcinoma, Kidney Renal Clear Cell Carcinoma, Liver Hepatocellular Carcinoma, Lung Adenocarcinoma, Lung Squamous Cell Carcinoma, Mesothelioma, Ovarian Serous Cystadenocarcinoma, Pancreatic ductal adenocarcinoma, Prostate Cancer, Rectal Adenocarcinoma, Sarcomas, Stomach Adenocarcinoma, Testicular Germ Cell, Thymoma, Uterine Corpus Endometrial Carcinoma, Uveal Melanoma

DOIs

TCGA-SBU-TIL-Maps 10.5281/zenodo.16966285

Collections analyzed:

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Description

This collection contains segmentations of the tumor-infiltrating lymphocytes for a subset of images from various TCGA slide microscopy images. The segmentations were generated automatically using two distinct algorithms developed by the Joel Saltz lab at Stony Brook University, and include both binary and probabilistic segmentations.

Please see the TCGA-SBU-TIL-Maps information page to learn more about the images and any supporting metadata for this collection, and to learn about attribution/citation requirements.