A Review on Melanoma Cancer Detection Using Artificial Intelligence

Abstract

Abstract: The melanoma skin cancer is the most dangerous cancer detected till the date. The reason is as it is difficult for dermatologists or physicians to detect it at early stages, an AI based system is required to detect the melanoma skin cancer at early stage. Skin cancer is one of the fatal diseases of which patients are increasing day by day. It can be easily cured if identified in early stages. Skin cancer is primarily brought on by the abnormal proliferation of melanocytic cells. Skin cancer can happen due to genetic disorder or UV exposure on skin which result in black and brown spot on the skin. The three cancers are : squamous cell cancer, melanoma cancer, and basal cell cancer. With early detection, this skin cancer can be completely cured. Before this the traditional method is the biopsy method for diagnosing melanoma which is very painful one and a timeconsuming process. This study gives a computer-aided detection system for the early identification of melanoma. In this study, the image processing techniques and algorithms like Support vector machine (SVM), K-Nearest Neighbor (KNN), Convolution Neural Network and Random Forest are used to design an diagnosing system which is efficient