CAT-WSI: Context-Aware Trajectory Learning for Whole-Slide Breast Pathology Segmentation.
CAT-WSI is proposed, a context-aware trajectory learning framework for breast pathology WSI segmentation that organizes patches into structured transverse trajectories across each slide, thereby preserving long-range spatial dependencies while reducing the directional bias and boundary fragmentation inherent in convent...