MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement

arXiv:2604.04470v1 Announce Type: cross Abstract: Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can be an early sign of malignancy, yet dense MC segmentation remains challenging: targets are extremely small and sparse, dense pixel-level labels are expensive and ambiguous, and cross-site shift often induces texture-driven false positives and missed puncta in dense tissue. We propose MC-GenRef, a real dense-label-free framework that comb