Prediction of Skin Cancer Using Convolutional Neural Network (CNN)

Abstract

Skin disorders are one of the most common types of disorders that are primarily diagnosed visually with scientific screening observed through dermoscopic evaluation, histopathological evaluation, and a biopsy. Diagnostic accuracy has a strong relevance to physician skill. Painful effects of skin disease hamper the mental condition of a patient. The authors propose an approach to detect the skin diseases based upon image processing as well as machine learning techniques i.e., convolutional neural networks (CNN). CNN is a specific type of neural network model that allows us to extract higher depictions for the image content. It is a deep learning algorithm to perform generative and descriptive tasks. Machine learning generates two types of prediction-batches and real time.