AugDiff: Diffusion-Based Feature Augmentation for Multiple Instance Learning in Whole Slide Image

Multiple instance learning (MIL), a powerful strategy for weakly supervised learning, is able to perform various prediction tasks on gigapixel whole slide images (WSIs). However, the tens of thousands of patches in WSIs usually incur a vast computational burden for image augmentation, limiting the p... View More