Helping Breast Cancer Diagnosis on Mammographies using Convolutional Neural Networks

Abstract

In this paper a study about breast cancer detection is presented. Mammography images in DICOM format are processed using Convolutional Neural Networks (CNNs) to get a pre-diagnosis. Of course, this preliminary result needs to be checked by a trained radiologist. CNNs are trained and checked using a big database that is publicly available. Standard measurements for success are computed (accuracy, precision, recall) obtaining outstanding results better than other examples from the literature.