Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date: Jan 1, 2023

Abstract

BACKGROUND: Accurate extraction of coronary arteries from invasive coronary angiography (ICA) images is essential for the diagnosis and risk stratification of coronary artery disease (CAD).

Authors

  • Yinghui Meng
    School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Zhenglong Du
    School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Chen Zhao
    Department of Ophthalmology, Fudan Eye & ENT Hospital, Shanghai, China.
  • Minghao Dong
    School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Drew Pienta
    Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI, USA.
  • Jinshan Tang
    Department of Orthopaedic Surgery, Huai'an Second People's Hospital, The Affiliated Huaian Hospital of Xuzhou Medical University, Huai'an 223000, China.
  • Weihua Zhou
    School of Computing, University of Southern Mississippi, Hattiesburg, MS, United States of America.

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