RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

arXiv:2403.10858v1 Announce Type: new
Abstract: Histopathological whole slide image (WSI) analysis with deep learning has become a research focus in computational pathology. The current paradigm is mainly based on multiple instance learning (MIL), in which approaches with Transformer as the backbone are well discussed. These methods convert WSI tasks into sequence tasks by representing patches as tokens in the WSI sequence. However, the feature complexity brought by high heterogeneity and the ultra-long sequences brought by gigapixel size makes Transformer-based MIL …

abstract analysis arxiv become classification computational cs.cv current deep learning focus image instance mil multiple paradigm pathology research tasks transformer type