Breast Cancer Classification and Detection using Deep Learning Algorithm

Abstract

This paper depicts CNN technology to detect the breast cancer. The process involves testing image, pre-processing, feature selection, feature extraction and dividing into separate classes. Feature learning is done by convolution and pooling process. By using CNN classifier normal and abnormal images can be obtained. Whereas in existing method SVM classifier is used to detect breast cancer by undergoing image enhancement, segmentation, feature extraction and directing them to SVM classifier.