Boundary-Selective Pseudo-Label Repair and Model Absorption for Semi-Supervised Medical Image Segmentation
Pseudo-labels can exploit unlabeled medical images, but high-overlap masks may still contain local contour errors and selected corrections may disappear during fine-tuning. We recast pseudo-label refinement as a repair-to-model problem and present Boundary-Selective Pseudo-Label Repair and Model Absorption (CPPA). A va...