Enhancing and advancements in deep learning for melanoma detection: A comprehensive review

Graziela Sória Virgens, João Alfredo Teodoro, Emmanuel Iarussi, Tiago Rodrigues, Danilo Trabuco Amaral

Abstract: Highlights•Comprehensive review of deep learning (DL) techniques for melanoma detection.•Deep learning models have limited applicability to diverse skin phototypes.•Evaluation of image resolution impacts on melanoma segmentation accuracy.•Python is the most used language due to its wide range of libraries and accessibility.

External IDs:doi:10.1016/j.compbiomed.2025.110533