Dearcat/CPathPatchFeature

CPathPatchFeature: Pre-extracted WSI Features for Computational Pathology Paper: Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology Code: https://github.com/DearCaat/E2E-WSI-ABMILX Dataset Summary This dataset provides a comprehensive collection of pre-extracted features from Whole Slide Images (WSIs) for various cancer types, designed to facilitate research in computational pathology. The features are extracted using multiple… See the full description on the dataset page: https://huggingface.co/datasets/Dearcat/CPathPatchFeature.

<iframe src="https://silytics.si/embed/item/1a869b21-9b39-45f3-8a88-a0c389f907e7" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.