Training and validation of a deep learning architecture for the automatic analysis of coronary angiography.

Journal: EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
Published Date: May 17, 2021

Abstract

BACKGROUND: In recent years, the use of deep learning has become more commonplace in the biomedical field and its development will greatly assist clinical and imaging data interpretation. Most existing machine learning methods for coronary angiography analysis are limited to a single aspect.

Authors

  • Tianming Du
  • Lihua Xie
  • Honggang Zhang
  • Xuqing Liu
  • Xiaofei Wang
    Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • Donghao Chen
  • Yang Xu
    Dermatological Department, Nan Chong Center Hospital, Nanchong, China.
  • Zhongwei Sun
  • Wenhui Zhou
  • Lei Song
    Graduate School of Geography, Clark University, Worcester, MA, United States.
  • Changdong Guan
  • Alexandra J Lansky
  • Bo Xu
    State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.

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