Bridging the Spatial Blind Spot in Pathology Foundation Models for Tumor Localization
Pathology foundation models (FMs) produce versatile patch-level features but discard inter-patch spatial context, leaving them ill-suited for dense prediction tasks such as tumor localization. Multiple instance learning (MIL) methods offer attention heatmaps as a localization byproduct, yet these maps are optimized for...