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Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis

OBJECTIVES: To evaluate the added value of deep learning (DL) analysis of the left ventricular myocardium (LVM) in resting coronary CT angiography (CCTA) over determination of coronary degree of stenosis (DS), for identification of patients with functionally significant coronary artery stenosis. MET...

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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: van Hamersvelt, Robbert W., Zreik, Majd, Voskuil, Michiel, Viergever, Max A., Išgum, Ivana, Leiner, Tim
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6443613/
https://ncbi.nlm.nih.gov/pubmed/30421020
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-018-5822-3
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