An open-source framework of neural networks for diagnosis of coronary artery disease from myocardial perfusion SPECT


Guner L. A. , KARABACAK N., Akdemir O. U. , KARAGÖZ P., Kocaman S. A. , Cengel A., ...More

JOURNAL OF NUCLEAR CARDIOLOGY, vol.17, no.3, pp.405-413, 2010 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 3
  • Publication Date: 2010
  • Doi Number: 10.1007/s12350-010-9207-5
  • Journal Name: JOURNAL OF NUCLEAR CARDIOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.405-413
  • Keywords: Ischemia, myocardial, myocardial perfusion imaging: SPECT, basic science, DECISION-SUPPORT-SYSTEM, KNOWLEDGE DISCOVERY APPROACH, COMPUTER-AIDED DIAGNOSIS, AUTOMATED INTERPRETATION, EXPERT-SYSTEM, IMAGES, SCINTIGRAMS, PERFORMANCE, STRESS, QUANTIFICATION
  • Gazi University Affiliated: Yes

Abstract

The purpose of this study is to develop and analyze an open-source artificial intelligence program built on artificial neural networks that can participate in and support the decision making of nuclear medicine physicians in detecting coronary artery disease from myocardial perfusion SPECT (MPS).