Deep learning-based fully automatic screening of carotid artery plaques in computed tomography angiography: a multicenter study.

Journal: Clinical radiology
PMID:

Abstract

AIM: To develop and validate a deep learning (DL) algorithm for the automated detection and classification of carotid artery plaques (CAPs) on computed tomography angiography (CTA) images.

Authors

  • D Zhai
    Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China.
  • R Liu
    Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China.
  • Y Liu
    Google Health Palo Alto California USA.
  • H Yin
    Department of Infectious Diseases, Henan Provincial People's Hospital, zhengzhou 450003, China.
  • W Tang
    Department of Nephrology, Peking University Third Hospital, Beijing 100191, China.
  • J Yang
  • K Liu
    Department of Cardiology,West China Hospital,Sichuan University,Chengdu,China.
  • G Fan
    From the Orthopedic Department, Shanghai Tenth People's Hospital (G.F., C.F., D.W., S.H.), Tongji University School of Medicine, Shanghai, China tjhss7418@tongji.edu.cn gfan@tongji.edu.cn.
  • S Ju
    Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Ding Jia Qiao Road No. 87, Nanjing, Jiangsu, 210009, China.
  • W Cai
    McGill University, Montreal, QC, Canada.