How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography

Recently, algorithms capable of assessing the severity of Coronary Artery Disease (CAD) in form of the Coronary Artery Disease-Reporting and Data System (CAD-RADS) grade from Coronary Computed Tomography Angiography (CCTA) scans using Deep Learning (DL) were proposed. Before considering to apply the...

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Detalles Bibliográficos
Autores principales: Denzinger, Felix, Wels, Michael, Breininger, Katharina, Taubmann, Oliver, Mühlberg, Alexander, Allmendinger, Thomas, Gülsün, Mehmet A., Schöbinger, Max, André, Florian, Buss, Sebastian J., Görich, Johannes, Sühling, Michael, Maier, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925789/
https://www.ncbi.nlm.nih.gov/pubmed/36781953
http://dx.doi.org/10.1038/s41598-023-29347-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925789/
https://www.ncbi.nlm.nih.gov/pubmed/36781953
http://dx.doi.org/10.1038/s41598-023-29347-9

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