Copy For Citation
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)
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Publication Type:
Article / Article
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Volume:
17
Issue:
3
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Publication Date:
2010
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Doi Number:
10.1007/s12350-010-9207-5
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Journal Name:
JOURNAL OF NUCLEAR CARDIOLOGY
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Journal Indexes:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Page Numbers:
pp.405-413
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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
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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).