Diagnostic performance of deep learning-based vascular extraction and stenosis detection technique for coronary artery disease.

Journal: The British journal of radiology
Published Date: Mar 25, 2020

Abstract

OBJECTIVE: To investigate the diagnostic performance of deep learning (DL)-based vascular extraction and stenosis detection technology in assessing coronary artery disease (CAD).

Authors

  • Meng Chen
    Institute of Industrial and Consumer Product Safety, China Academy of Inspection and Quarantine, Beijing, China.
  • Ximing Wang
  • Guangyu Hao
    Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, China.
  • Xujie Cheng
    Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Chune Ma
    ShuKun Technology Co., Ltd., Jinhui Bd, Qiyang Rd, Beijing 100029, China.
  • Ning Guo
  • Su Hu
    Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, China.
  • Qing Tao
    Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, China.
  • Feirong Yao
    Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, China.
  • Chunhong Hu
    Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

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