Recent Advances in Diagnosis of Skin Lesions Using Dermoscopic Images Based on Deep Learning

Skin cancer is one of the most threatening cancers, which spreads to other parts body if not caught and treated early. During last few years, integration deep learning into skin has been a milestone in health care, dermoscopic images are right at center this revolution. This review study focuses on state-of-the-art automatic diagnosis from based learning. work thoroughly explores existing its application diagnosing images. aims present summarize latest methodology melanoma classification techniques improve this. We discuss advancements learning-based solutions diagnose cancer, along with some challenges future opportunities strengthen these systems support dermatologists enhance their ability cancer.