Bridging the Objective Gap: A Unified Pre-Training Framework for Few-Shot Medical Image Segmentation
A Drift-Gap diagnostic is introduced to quantify intrinsic dense-matching misalignment and adaptation-induced feature drift, and a BOG-PRETRAIN is proposed, combining Reliability-Gated Alignment to mitigate noisy report supervision, Semantic-Guided MIM to emphasize boundary-informative regions, and Dual Consistency Reg...