PathologyDataScience/MuTILs_Panoptic
Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.
This project helps pathologists and cancer researchers standardize the assessment of Tumor-Infiltrating Lymphocytes (TILs) in breast cancer tissue. It takes whole-slide images of stained tissue samples as input and outputs detailed, explainable segmentations of tissue regions and individual cells. The primary users are pathologists, oncologists, and researchers focused on breast cancer prognosis and treatment.
Use this if you need a reproducible and explainable method for quantifying TILs and other microenvironment features from breast cancer whole-slide images, adhering to clinical recommendations.
Not ideal if your focus is on assessing TILs in cancer types other than breast cancer or if you require analysis of different cellular or tissue components beyond the defined tumor microenvironment.
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28
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7
Language
Python
License
MIT
Category
Last pushed
Feb 06, 2026
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0
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