Paper: Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
Code:
https://github.com/DearCaat/E2E-WSI-ABMILX
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.