Analysis and Classification of Skin Cancer Images using Convolutional Neural Network Approach

Abstract

In this modern era skin cancer is a serious problem around the globe and so it is the age of technology and it is important to solve this problem through intelligence machines which using different algorithms rather than conventional method. Intelligent machine using different algorithms to classify the skin cancer images in a reliable way to save effort, time and ease human life. For this purpose, deep learning (CNN) algorithm is used by intelligent machine to classify the skin cancer images according to its types. In this current research work there are three types of skin cancer types name is Basal cell Carcinoma (BBC), Melanocytic Nevus (NV) and Vascular Lesion (VASC) are used. The study showed that implementing deep learning in the field of cancer diseases may be the most appropriate way to classify and recognize the images of skin cancer according to their type, which can be very useful in the field of medicine for early diagnosis and improve the exact result of the diagnosis. This current work has shown and produced results with 98.89% accuracy.