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Improved Accuracy of Myocardial Perfusion SPECT for the Detection of Coronary Artery Disease by Utilizing a Support Vector Machines Algorithm

We aimed to improve the diagnostic accuracy of automatic myocardial perfusion SPECT (MPS) interpretation analysis for prediction of coronary artery disease (CAD) by integrating several quantitative perfusion and functional variables for non-corrected (NC) data by support vector machines (SVM), a com...

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書誌詳細
主要な著者: Arsanjani, Reza, Xu, Yuan, Dey, Damini, Fish, Matthews, Dorbala, Sharmila, Hayes, Sean, Berman, Daniel, Germano, Guido, Slomka, Piotr
フォーマット: Artigo
言語:Inglês
出版事項: 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3615055/
https://ncbi.nlm.nih.gov/pubmed/23482666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2967/jnumed.112.111542
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