Automatic mammographic breast density classification in Chinese women: clinical validation of a deep learning model.

Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published Date:

Abstract

BACKGROUND: High breast density is a strong risk factor for breast cancer. As such, high consistency and accuracy in breast density assessment is necessary.

Authors

  • Xiaohui Lin
    School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China. datas@dlut.edu.cn.
  • Shibin Wu
    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
  • Lin Li
    Department of Medicine III, LMU University Hospital, LMU Munich, Munich, Germany.
  • Rushan Ouyang
    Department of Radiology, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China.
  • Jie Ma
    Respiratory Department, Beijing Hospital of Integrated Traditional Chinese and Western Medicine, Beijing, China.
  • Chunyan Yi
    Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Yuxing Tang
    PAII Inc, Palo Alto, CA, 94306, USA.