Artificial Intelligence and Malignant Melanoma : A Review

Abstract

Malignant Melanoma is the most deadly form of skin cancer and one of the most quickly expanding cancers in the world. Some of melanocytic nevi have a higher risk of developing malignant melanoma. Early diagnosis of melanoma is critical due to increasing survival rates, decreasing surgical removal and following disfigurement, and reducing the overall care costs. Although the golden standard is histopathologic examination of the excised suspicious lesion, there are a number of tools which allow a more detailed examination of the skin lesion. Artificial intelligence (AI) with its subfields (deep learning and machine learning) and imaging technologies have been incorporated in science and medicine. In dermatology, the rising incidence of melanoma, the benefits of early diagnosis, and the limited access to dermatologic services in some countries, have conduced developing of image-based, automated diagnostic systems and the usage of either clinical or dermoscopic images. This article tries to overlook the studies in this field and give a general view of it.