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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Detalles Bibliográficos
Autores principales: Hampe, Nils, Wolterink, Jelmer M., van Velzen, Sanne G. M., Leiner, Tim, Išgum, Ivana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988816/
https://www.ncbi.nlm.nih.gov/pubmed/32039237
http://dx.doi.org/10.3389/fcvm.2019.00172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988816/
https://www.ncbi.nlm.nih.gov/pubmed/32039237
http://dx.doi.org/10.3389/fcvm.2019.00172

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