Diagnostic accuracy of a deep learning approach to calculate FFR from coronary CT angiography

BACKGROUND: The computational fluid dynamics (CFD) approach has been frequently applied to compute the fractional flow reserve (FFR) using computed tomography angiography (CTA). This technique is efficient. We developed the DEEPVESSEL-FFR platform using the emerging deep learning technique to calcul...

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Detalles Bibliográficos
Autores principales: Wang, Zhi-Qiang, Zhou, Yu-Jie, Zhao, Ying-Xin, Shi, Dong-Mei, Liu, Yu-Yang, Liu, Wei, Liu, Xiao-Li, Li, Yue-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science Press 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379239/
https://www.ncbi.nlm.nih.gov/pubmed/30800150
http://dx.doi.org/10.11909/j.issn.1671-5411.2019.01.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379239/
https://www.ncbi.nlm.nih.gov/pubmed/30800150
http://dx.doi.org/10.11909/j.issn.1671-5411.2019.01.010

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