Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease

BACKGROUND: Deep learning algorithms are increasingly used for automatic medical imaging analysis and cardiac chamber segmentation. Especially in congenital heart disease, obtaining a sufficient number of training images and data anonymity issues remain of concern. METHODS: Progressive generative ad...

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Detalles Bibliográficos
Publicado en:BMC Med Imaging
Autores principales: Diller, Gerhard-Paul, Vahle, Julius, Radke, Robert, Vidal, Maria Luisa Benesch, Fischer, Alicia Jeanette, Bauer, Ulrike M. M., Sarikouch, Samir, Berger, Felix, Beerbaum, Philipp, Baumgartner, Helmut, Orwat, Stefan
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7542728/
https://ncbi.nlm.nih.gov/pubmed/33032536
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-020-00511-1
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