Skin Cancer Detection and Segmentation Using Convolutional Neural Network Models

Skin cancer is known as one of the killing diseases in humans around world. In this paper, melanoma skin images are classified and regions segmented using Convolutional Neural Networks (CNN). The data augmented into high number for obtaining classification accuracy. Then, CNN classifier used to classify image either or normal. Finally, morphological segmentation method segment regions. simulation results obtained by applying proposed methods on ISIC HAM dataset images.