mahmoodlab/MIL-Lab
Feather - Lightweight supervised slide foundation models (ICML 2025)
This tool provides pre-trained models to analyze whole slide images, helping medical researchers and pathologists classify various types of cancer. You input digitized microscope slides, and it outputs predictions about the cancer type or molecular subtype present, even with limited computing power. The end-users are medical researchers and computational pathologists working on cancer diagnosis and subtyping.
141 stars.
Use this if you need to classify whole slide images for pan-cancer morphological or molecular subtyping efficiently and with competitive accuracy, especially when working with consumer-grade GPUs.
Not ideal if your primary need is general image classification outside of whole slide pathology, or if you require models with classification heads already integrated for immediate out-of-the-box use without fine-tuning.
Stars
141
Forks
23
Language
Python
License
—
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
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