Determination of mammographic breast density using a deep convolutional neural network

High breast density is a risk factor for breast cancer. The aim of this study was to develop a deep convolutional neural network (dCNN) for the automatic classification of breast density based on the mammographic appearance of the tissue according to the American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) Atlas.In this study, 20,578 mammography single views from 5221 different patients (58.3 ± 11.5 years) were...