ConMIL: interactive and contrastive text-guided multiple instance learning for whole slide image classification
Abstract Motivation Whole-slide image (WSI) classification in computational pathology typically relies on Multiple Instance Learning (MIL) for weakly supervised analysis. Recent pathology vision-language models have inspired text-guided approaches, but these methods typically use text for representation alignment or re...