Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations

BACKGROUND: Cardiac function quantification in cardiovascular magnetic resonance requires precise contouring of the heart chambers. This time-consuming task is increasingly being addressed by a plethora of ever more complex deep learning methods. However, only a small fraction of these have made the...

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Detalles Bibliográficos
Autores principales: Ammann, Clemens, Hadler, Thomas, Gröschel, Jan, Kolbitsch, Christoph, Schulz-Menger, Jeanette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151814/
https://www.ncbi.nlm.nih.gov/pubmed/37144061
http://dx.doi.org/10.3389/fcvm.2023.1118499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151814/
https://www.ncbi.nlm.nih.gov/pubmed/37144061
http://dx.doi.org/10.3389/fcvm.2023.1118499

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