Learning Superpixel Ensemble and Hierarchy Graphs for Melanoma Detection

arXiv:2604.03710v1 Announce Type: cross Abstract: Graph signal processing (GSP) is becoming a major tool in biomedical signal and image analysis. In most GSP techniques, graph structures and edge weights have been typically set via statistical and computational methods. More recently, graph structure learning methods offered more reliable and flexible data representations. In this work, we introduce a graph learning approach for melanoma detection in dermoscopic images based on two graph-theoret