Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification

arXiv:2312.05490v2 Announce Type: replace
Abstract: In computational pathology, whole slide image (WSI) classification presents a formidable challenge due to its gigapixel resolution and limited fine-grained annotations. Multiple instance learning (MIL) offers a weakly supervised solution, yet refining instance-level information from bag-level labels remains complex. While most of the conventional MIL methods use attention scores to estimate instance importance scores (IIS) which contribute to the prediction of the slide labels, these often lead to skewed attention distributions and inaccuracies in identifying …

abstract annotations arxiv augmentation bag challenge classification computational cs.cv fine-grained image information instance labels mil multiple pathology solution type values