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., ...Daha Fazla

JOURNAL OF NUCLEAR CARDIOLOGY, cilt.17, sa.3, ss.405-413, 2010 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 3
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1007/s12350-010-9207-5
  • Dergi Adı: JOURNAL OF NUCLEAR CARDIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.405-413
  • Anahtar Kelimeler: 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 Üniversitesi Adresli: Evet

Özet

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).