Skin Lesion Image Classification Using Convolutional Neural Network

Skin cancer is one of the most common types of cancer in the global Caucasian population and is a leading cause of death in humans. Its most aggressive form is melanoma (M), for which early and accurate diagnosis is critical to increasing patient survival rates; however, its clinical evaluation is limited by the long time frame, the variety of interpretations, and the difficulty in distinguishing it from nevi (N) because of significant similarities. These problems necessitate the development of computer-aided diagnostic systems (CAD systems), which generally involve several steps: preprocessing, segmentation, feature extraction, and classification of dermoscopic images using Machine Learning (ML) and Deep Learning (DL) approaches.