Deep learning for myocardial ischemia auxiliary diagnosis using CZT SPECT myocardial perfusion imaging.

Journal: Journal of the Chinese Medical Association : JCMA
Published Date:

Abstract

BACKGROUND: The World Health Organization reported that cardiovascular disease is the most common cause of death worldwide. On average, one person dies of heart disease every 26 min worldwide. Deep learning approaches are characterized by the appropriate combination of abnormal features based on numerous annotated images. The constructed convolutional neural network (CNN) model can identify normal states of reversible and irreversible myocardial defects and alert physicians for further diagnosis.

Authors

  • Ting-Yi Su
    Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan.
  • Jui-Jen Chen
    Department of Nuclear Medicine, Chang Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan, ROC.
  • Wei-Shiang Chen
    Institute of Statistics, National Chiao Tung University, Taiwan.
  • Yen-Hsiang Chang
    Department of Nuclear Medicine, Chang Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan, ROC.
  • Henry Horng-Shing Lu
    Shing-Tung Yau Center, National Chiao Tung University, 1001 University Road, Hsinchu City, Taiwan. hslu@stat.nctu.edu.tw.