Yi-Ming Miao

Bridging the Objective Gap: A Unified Pre-Training Framework for Few-Shot Medical Image Segmentation

Few-shot medical image segmentation relies on dense, boundary-sensitive prototype matching, yet common pre-training objectives mainly optimize global alignment or reconstruction, creating an objective gap that hurts boundary delineation and increases adaptation cost. This raises the question: how to pre-train represent...