Improved diagnostic accuracy for myocardial perfusion imaging using artificial neural networks on different input variables including clinical and quantification data-Reference-Cited by-同舟云学术

Improved diagnostic accuracy for myocardial perfusion imaging using artificial neural networks on different input variables including clinical and quantification data

Published:2019-09 Issue:5 Volume:38 Page:275-279
ISSN:2253-8089
Container-title:Revista Española de Medicina Nuclear e Imagen Molecular (English Edition)
language:en
Short-container-title:Revista Española de Medicina Nuclear e Imagen Molecular (English Edition)

Author:

Rahmani Reza,Niazi Parisa,Naseri Maryam,Neishabouri Mohamadreza,Farzanefar Saeed,Eftekhari Mohammad,Derakhshan Farhang,Mollazadeh Reza,Meysami Alipasha,Abbasi Mehrshad

Publisher

Elsevier BV

Reference26 articles.

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3. Predictors of high-risk coronary artery disease in subjects with normal SPECT myocardial perfusion imaging;Nakanishi;J Nucl Cardiol,2016

4. SPECT imaging for detecting coronary artery disease and determining prognosis by noninvasive assessment of myocardial perfusion and myocardial viability;Beller;J Cardiovasc Transl Res,2011

5. Multimodality image fusion for diagnosing coronary artery disease;Piccinelli;J Biomed Res,2013

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