Mammography-based deep learning model for coronary artery calcification.

Journal: European heart journal. Cardiovascular Imaging
Published Date:

Abstract

AIMS: Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coronary events.

Authors

  • Sangil Ahn
    Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
  • Yoosoo Chang
    Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
  • Ria Kwon
    Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
  • Jeonggyu Kang
    Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
  • JunHyeok Choi
    School of Mechanical Engineering, Sungkyunkwan University, Republic of Korea.
  • Ga-Young Lim
    Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
  • Mi-Ri Kwon
    Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Seungho Ryu
    Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
  • Jitae Shin
    Department Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea. Electronic address: jtshin@skku.edu.