Modeling of Clinical Mammography Recognition

Abstract

Breast cancer screening can detect and treat early, mammography is one of popular screening methods. Recognition of mammography image depends on the radiologist, but human interpretation of mammography image has its limitations. Recently, for precision medicine, deep learning technology is applied on medical images to reduce the risk of the interpretation on breast lesion types (BIRADS, Breast Imaging Reporting and Data System, divided into 0 to 6 categories). This study proposes a mammography recognition model that is based on deep learning method to support clinical diagnosis of breast cancer. The model is try to improve medical quality.