SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification

概要

arXiv:2604.15711v2 Announce Type: replace-cross Abstract: Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while whole-slide image (WSI)-level tasks primarily capture aggregated patterns. To extract thes…