Deep Learning for Classification and Selection of Cine CMR Images to Achieve Fully Automated Quality-Controlled CMR Analysis From Scanner to Report

Introduction: Deep learning demonstrates great promise for automated analysis of CMR. However, existing limitations, such as insufficient quality control and selection of target acquisitions from the full CMR exam, are holding back the introduction of deep learning tools in the clinical environment....

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Detalles Bibliográficos
Autores principales: Vergani, Vittoria, Razavi, Reza, Puyol-Antón, Esther, Ruijsink, Bram
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/PMC8551568/
https://www.ncbi.nlm.nih.gov/pubmed/34722674
http://dx.doi.org/10.3389/fcvm.2021.742640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551568/
https://www.ncbi.nlm.nih.gov/pubmed/34722674
http://dx.doi.org/10.3389/fcvm.2021.742640

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