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PathML is a modular Python toolkit designed for the deep analysis of pathology imaging data, enabling researchers to load, preprocess, and analyze whole-slide images (WSI) at scale. It bridges the gap between raw medical imaging and advanced machine learning by providing specialized tools for nucleus detection, spatial graph construction, and stain normalization across 160+ proprietary formats. Whether working with standard H&E slides or complex multiplex immunofluorescence like CODEX, this skill streamlines the entire research pipeline from raw image ingestion to deploying models like HoVer-Net for tissue segmentation and spatial proteomics.
