Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function

OBJECTIVES: This study sought to develop a fully automated framework for cardiac function analysis from cardiac magnetic resonance (CMR), including comprehensive quality control (QC) algorithms to detect erroneous output. BACKGROUND: Analysis of cine CMR imaging using deep learning (DL) algorithms c...

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Detalles Bibliográficos
Autores principales: Ruijsink, Bram, Puyol-Antón, Esther, Oksuz, Ilkay, Sinclair, Matthew, Bai, Wenjia, Schnabel, Julia A., Razavi, Reza, King, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060799/
https://www.ncbi.nlm.nih.gov/pubmed/31326477
http://dx.doi.org/10.1016/j.jcmg.2019.05.030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060799/
https://www.ncbi.nlm.nih.gov/pubmed/31326477
http://dx.doi.org/10.1016/j.jcmg.2019.05.030

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