Convolutional Neural Networks for Skin Lesion Image Classification

Skin cancer is one of the most common types of cancer in the global Caucasian population [1] and is a leading cause of death in humans. Its most aggressive form is melanoma (M), for which the clinical evaluation is limited by the long time frame, the variety of interpretations, and the difficulty in distinguishing it from nevi (N). These problems necessitate the development of computer-aided diagnostic systems, which involve the automatic classification of dermoscopic images.