Deep Learning-Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography

Background: We evaluated the accuracy of a deep learning-based automated quantification algorithm for coronary artery calcium (CAC) based on enhanced ECG-gated coronary CT angiography (CCTA) with dedicated coronary calcium scoring CT (CSCT) as the reference. Methods: This retrospective study include...

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Detalles Bibliográficos
Autores principales: Lee, Jung Oh, Park, Eun-Ah, Park, Daebeom, Lee, Whal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146297/
https://www.ncbi.nlm.nih.gov/pubmed/37103022
http://dx.doi.org/10.3390/jcdd10040143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146297/
https://www.ncbi.nlm.nih.gov/pubmed/37103022
http://dx.doi.org/10.3390/jcdd10040143

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