Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review.

ABSTRACT: Skin lesions are essential for the early detection and management of a number of dermatological disorders. Learning-based methods for skin lesion analysis have drawn much attention lately because of improvements in computer vision and machine learning techniques. A review of the most-recent methods for skin lesion classification, segmentation, and detection is presented in this survey paper. The significance of skin lesion analysis in healthcare and the difficulties of physical inspection are discussed in this survey paper. The review of state-of-the-art papers targeting skin lesion classification is then covered in depth with the goal of correctly identifying the type of skin lesion from dermoscopic, macroscopic, and other lesion image formats. The contribution and limitations of various

SUBMITTER: Debelee TG 

PROVIDER: S-EPMC10572538 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature