Classification models for SPECT myocardial perfusion imaging

Berkaya S. K. , AK SİVRİKOZ İ. , Gunal S.

COMPUTERS IN BIOLOGY AND MEDICINE, vol.123, 2020 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 123
  • Publication Date: 2020
  • Doi Number: 10.1016/j.compbiomed.2020.103893
  • Title of Journal : COMPUTERS IN BIOLOGY AND MEDICINE
  • Keywords: Computer-aided diagnosis, Coronary artery disease, Deep learning, Myocardial perfusion imaging, SPECT, CORONARY-ARTERY-DISEASE, IMPROVED ACCURACY, DIAGNOSIS, SYSTEM

Abstract

Objective: The main goal of this work is to develop computer-aided classification models for single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) to identify perfusion abnormalities (myocardial ischemia and/or infarction).