jafarinia/maxsoft
Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
This project helps medical professionals, specifically pathologists and researchers, analyze whole slide images (WSIs) for classification tasks. It takes large, high-resolution tissue scans as input and provides classifications, potentially highlighting specific areas of interest within the slide. The primary users are researchers and medical practitioners working with digital pathology.
Use this if you are a medical researcher or pathologist looking to implement or evaluate advanced machine learning models for classifying whole slide images in histopathology.
Not ideal if you are a clinical practitioner seeking a ready-to-use diagnostic tool, as this is a research implementation for reproducing a paper's results.
Stars
22
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 09, 2026
Commits (30d)
0
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