Scan-Invariant Mamba-based MIL for Computational Pathology

SMDC-MIL is a novel Mamba-based Multiple Instance Learning (MIL) approach designed for whole slide image (WSI) analysis in computational pathology. It enables scan-invariant feature learning by addressing Mamba's sensitivity to varied input scanning modes.