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

Date

2010-06-01

Author

Guner, Levent A.
Karabacak, Nese Ilgin
Akdemir, Ozgur U.
Karagöz, Pınar
KOCAMAN, SİNAN ALTAN
ÇENGEL, ATİYE
ÜNLÜ, MUSTAFA

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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).

Subject Keywords

Basic science, SPECT, Myocardial perfusion imaging, Myocardial, Ischemia

URI

https://hdl.handle.net/11511/42849

Journal

JOURNAL OF NUCLEAR CARDIOLOGY

DOI

https://doi.org/10.1007/s12350-010-9207-5

Collections

Department of Computer Engineering, Article

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Citation Formats

L. A. Guner et al., “An open-source framework of neural networks for diagnosis of coronary artery disease from myocardial perfusion SPECT,” JOURNAL OF NUCLEAR CARDIOLOGY, pp. 405–413, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42849.