BPC-Net: Annotation-Free Skin Lesion Segmentation via Boundary Probability Calibration

ArXi:2604.05594v1 Announce Type: new Annotation-free skin lesion segmentation is attractive for low-resource dermoscopic deployment. However, its performance remains constrained by three coupled challenges: noisy pseudo-label supervision, unstable transfer under limited target-domain data, and boundary probability under-confidence. Most existing annotation-free methods primarily focus on pseudo-label denoising.