Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation

Deep learning methods have demonstrated the ability to perform accurate coronary artery calcium (CAC) scoring. However, these methods require large and representative training data hampering applicability to diverse CT scans showing the heart and the coronary arteries. Training methods that accurate...

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Detalles Bibliográficos
Autores principales: Zhai, Zhiwei, van Velzen, Sanne G. M., Lessmann, Nikolas, Planken, Nils, Leiner, Tim, Išgum, Ivana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510682/
https://www.ncbi.nlm.nih.gov/pubmed/36172575
http://dx.doi.org/10.3389/fcvm.2022.981901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510682/
https://www.ncbi.nlm.nih.gov/pubmed/36172575
http://dx.doi.org/10.3389/fcvm.2022.981901

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