A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging

Recently, deep learning (DL) models have been increasingly adopted for automatic analyses of medical data, including electrocardiograms (ECGs). Large, available ECG datasets, generally of high quality, often lack specific distortions, which could be helpful for enhancing DL-based algorithms. Synthet...

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Detalles Bibliográficos
Autores principales: Mehri, Maroua, Calmon, Guillaume, Odille, Freddy, Oster, Julien, Lalande, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649946/
https://www.ncbi.nlm.nih.gov/pubmed/37960391
http://dx.doi.org/10.3390/s23218691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649946/
https://www.ncbi.nlm.nih.gov/pubmed/37960391
http://dx.doi.org/10.3390/s23218691

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