Diagnostic Improvements of Deep Learning–Based Image Reconstruction for Assessing Calcification-Related Obstructive Coronary Artery Disease

Objectives: The objective of this study was to explore the diagnostic value of deep learning-based image reconstruction (DLR) and hybrid iterative reconstruction (HIR) for calcification-related obstructive coronary artery disease (CAD) evaluation by using coronary CT angiography (CCTA) images and su...

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Detalles Bibliográficos
Autores principales: Yi, Yan, Xu, Cheng, Xu, Min, Yan, Jing, Li, Yan-Yu, Wang, Jian, Yang, Si-Jie, Guo, Yu-Bo, Wang, Yun, Li, Yu-Mei, Jin, Zheng-Yu, Wang, Yi-Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595262/
https://www.ncbi.nlm.nih.gov/pubmed/34805313
http://dx.doi.org/10.3389/fcvm.2021.758793

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595262/
https://www.ncbi.nlm.nih.gov/pubmed/34805313
http://dx.doi.org/10.3389/fcvm.2021.758793

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