Pre-diagnosis of Skin cancer with artificial neural network

Abstract

The Skin cancer is increasing around of world; in México is not the exception. The Skin cancer is detected from melanomas in any body part principally face, arms and hands. Therefore, we started this work for to classify the melanomas on benign and malignant. For this purpose, we used an artificial neural network. From database of ISIC was download images and went be prepared for to train the neural networks. In this work, we applied a perceptron neural network. The goal is become a make a pre-diagnosis in the small clinics in México by physician. In México, there are thousands of clinics with only physician. An application can let a physician to use the application and to make a pre-diagnosis so if is positive the patient should have canalized to specialty clinic for apply other analysis. It is possible to make an earlier detection it could save lives.