PathML is a tool for analyzing medical tissue images. It helps researchers work with whole-slide images from many different scanners. You can use it for nucleus segmentation, spatial graph construction, and machine learning model training on pathology data.
The toolkit supports over 160 slide formats. It can handle complex imaging like multiplexed immunofluorescence and CODEX. This makes it useful for cancer research and other medical studies.
With PathML, you can build preprocessing pipelines and train deep learning models like HoVer-Net. It is designed for large-scale pathology datasets and reproducible analysis.
Add Pathml skill to your workflow
Global
mkdir -p ~/.claude/skills/pathmlProject
mkdir -p .claude/skills/pathmlSource Repository
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