Convolutional Neural Network Strategy for Skin Cancer Lesions Classifications and Detections

Abstract

Skin cancer is one of the most common forms of cancer that has widespread as a disease around the world. With early, accurate diagnosis, the chances of treating skin cancer are high. This has inspired us to design a deep learning model that uses a conventional neural network to automatically classify and detect different types of skin cancer images. Through this way the system takes actions to prevent and early detect skin cancer, leading to potentially the best approach for treatment. The goal of this research is to apply the systematic meta heuristic optimization and image detection techniques based on a convolutional neural network to efficiently and accurately detect and classify different types of skin lesions.