DINOSAM+: Structure-Guided Prompt Learning for Semi-Supervised 3D Medical Image Segmentation.
A frozen self-supervised representation model, DINOv2, is employed to extract coarse structural attention from volumetric slices, which is further refined by a lightweight structure-aware network into foreground, boundary, and background probability maps, thereby providing more discriminative structural cues for pseudo...