Deep learning for classification of late gadolinium enhancement lesions based on the 16-segment left ventricular model.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date:

Abstract

PURPOSE: This study aimed to develop and validate a deep learning-based method that allows for segmental analysis of myocardial late gadolinium enhancement (LGE) lesions.

Authors

  • Yoon-Chul Kim
    Clinical Research Institute Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea.
  • Younjoon Chung
    VUNO, Seoul, Republic of Korea.
  • Yeon Hyeon Choe
    Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.