sohmandal/classpose
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
This project helps histopathologists and researchers automatically identify and classify different cell types across entire whole slide images (WSIs). You input a digital WSI, and it outputs detailed outlines and classifications of individual cells, saving you from tedious manual analysis. This tool is for scientists, pathologists, and lab technicians working with high-resolution microscopy images who need accurate cell phenotyping.
Use this if you need to precisely locate and categorize cells in large-scale tissue samples for research or diagnostic purposes, especially if you are already using QuPath for image analysis.
Not ideal if your primary need is basic cell segmentation without semantic classification, or if you are not working with whole slide images.
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Language
Python
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Last pushed
Mar 16, 2026
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