Review on Automated Skin Cancer Detection Using Image Processing Techniques

Abstract

Skin is the most important part of the human body, protecting the muscles, bones and the entire body. One of the most common diseases affecting many people today is cancer, and skin cancer is one of the most common cancers known to man. As one of the deadliest cancers, skin cancer requires special attention. Skin cancer is caused by genetic defects or mutations caused by unreduced deoxyribonucleic acid in skin cells. One of the most dangerous types of skin cancer is melanoma, which has a high survival rate if detected early. Accordingly, early detection of melanoma is very important. To this end, this paper presents a computer-aided method that uses image processing tools to detect skin cancer, especially melanoma. This system takes an image of a skin lesion and uses new image processing techniques to determine the presence of skin cancer. The lesion image analysis tool evaluates various features of melanoma, including asymmetry, contour, color, diameter (ABCD), and more. Then these extracted parameters are used to classify the images as benign or malignant lesions. This article describes methods and approaches for automatic skin cancer detection. This article provides researchers with useful information about the methods, databases, and procedures required for early detection of skin cancer.