Skin Lesion Analysis and Classification Techniques

Abstract

Skin lesion diagnosis using computer-aided systems is a growing field of research. In recent years, researchers have been developing computer-aided diagnosis systems. An analysis of the efficiency of computer-aided diagnosis is examined, synthesized, and evaluated in this work. This study surveyed articles published in ScienceDirect, IEEE Xplore, and SpringerLink during the last five years. Traditional machine learning techniques and deep learning techniques are also covered in the publications. The research is compared in terms of their contributions, methodologies, and outcomes. Given the scarcity of data sets, it is difficult to evaluate skin lesion segmentation and classification methods without resorting to picture selection or introducing racial bias.