Raymvp12/focusmil-camelyon16
Datasets used in FocusMIL paper The Camelyon16 and Camelyon16-Standard-MIL-test datasets used in From Correlation to Causation: Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification (FocusMIL). Code: FocusMIL-and-other-max-pooling-methods These are pre-extracted patch features — you do not need the raw whole-slide images. Slide classification, patch-level metrics, and FROC localization all run directly off the files here. For Camelyon17… See the full description on the dataset page: https://huggingface.co/datasets/Raymvp12/focusmil-camelyon16.
Specify the poison: 20% of patches, green channel
Describe how the negative shortcut is constructed; add AUC<0.5 criterion
Drop link to removed DATA_LAYOUT.md
Retitle: Datasets used in FocusMIL paper
Reword intro; add Camelyon17 pointer to AEM
Add dataset card
Update MANIFEST paths after rename
Rename Reproducibility_factor075_random02_/ -> camelyon16-standard-MIL-test/ (Standard MIL Test)
Add files using upload-large-folder tool
initial commit
