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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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| Izdano u: | Eur Radiol |
|---|---|
| Glavni autori: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Springer Berlin Heidelberg
2018
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| Teme: | |
| Online pristup: | 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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