Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study

Aims: In this retrospective, multi-center study, we aimed to estimate the diagnostic accuracy and generalizability of an established deep learning (DL)-based fully automated algorithm in detecting coronary stenosis on coronary computed tomography angiography (CCTA). Methods and results: A total of 5...

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Detalles Bibliográficos
Autores principales: Xu, Lixue, He, Yi, Luo, Nan, Guo, Ning, Hong, Min, Jia, Xibin, Wang, Zhenchang, Yang, Zhenghan
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/PMC8602896/
https://www.ncbi.nlm.nih.gov/pubmed/34805297
http://dx.doi.org/10.3389/fcvm.2021.707508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602896/
https://www.ncbi.nlm.nih.gov/pubmed/34805297
http://dx.doi.org/10.3389/fcvm.2021.707508

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