Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography.

Journal: Medical physics
Published Date: Jun 13, 2023

Abstract

BACKGROUND: Invasive coronary angiography (ICA) is a primary imaging modality that visualizes the lumen area of coronary arteries for diagnosis and interventional guidance. In the current practice of quantitative coronary analysis (QCA), semi-automatic segmentation tools require labor-intensive and time-consuming manual correction, limiting their application in the catheterization room.

Authors

  • Jeeone Park
    Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Jihoon Kweon
    Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. kjihoon2@naver.com.
  • Young In Kim
    Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, Seoul, Korea.
  • Inwook Back
    Division of Cardiology, Department of Internal Medicine, Medical Center, University of Ulsan College of Medicine, Asan, Seoul, South Korea.
  • Jihye Chae
    Departments of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Jae-Hyung Roh
    Department of Cardiology in Internal Medicine, School of Medicine, Chungnam National University, Chungnam National University Hospital, Daejeon, Korea.
  • Do-Yoon Kang
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Pil Hyung Lee
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Jung-Min Ahn
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Soo-Jin Kang
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Duk-Woo Park
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Seung-Whan Lee
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Cheol Whan Lee
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Seong-Wook Park
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Seung-Jung Park
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Young-Hak Kim
    Asan Medical Center, Seoul, Republic of Korea.

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