DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation

ArXi:2508.06816v3 Announce Type: replace Lesion segmentation, in contrast to natural scene segmentation, requires handling subtle variations in texture and color, frequent imaging artifacts (such as hairs, rulers, and bubbles), and a critical need for precise boundary localization to aid in accurate diagnosis. The accurate delineation of melanocytic tumors in dermoscopic images is a crucial component of automated skin cancer screening systems and clinical decision.