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Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey

Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation of coronary artery disease is time-consuming and challenging. Machine learning (ML) approaches have the potential to ad...

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Bibliografski detalji
Izdano u:Front Cardiovasc Med
Glavni autori: Hampe, Nils, Wolterink, Jelmer M., van Velzen, Sanne G. M., Leiner, Tim, Išgum, Ivana
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6988816/
https://ncbi.nlm.nih.gov/pubmed/32039237
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fcvm.2019.00172
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