Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning.

Journal: Korean journal of radiology
Published Date:

Abstract

OBJECTIVE: To evaluate the accuracy of a deep learning-based automated segmentation of the left ventricle (LV) myocardium using cardiac CT.

Authors

  • Hyun Jung Koo
    Department of Radiology, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • June Goo Lee
    Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Ji Yeon Ko
    Biomedical Engineering Research Center, Asan Institute of Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Gaeun Lee
    Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Joon Won Kang
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Young Hak Kim
    Division of Cardiology, Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Dong Hyun Yang
    Department of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.