Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies

To develop a fully automatic model capable of reliably quantifying epicardial adipose tissue (EAT) volumes and attenuation in large scale population studies to investigate their relation to markers of cardiometabolic risk. Non-contrast cardiac CT images from the SCAPIS study were used to train and t...

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Detalles Bibliográficos
Autores principales: Molnar, David, Enqvist, Olof, Ulén, Johannes, Larsson, Måns, Brandberg, John, Johnsson, Åse A., Björnson, Elias, Bergström, Göran, Hjelmgren, Ola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669008/
https://www.ncbi.nlm.nih.gov/pubmed/34903773
http://dx.doi.org/10.1038/s41598-021-03150-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669008/
https://www.ncbi.nlm.nih.gov/pubmed/34903773
http://dx.doi.org/10.1038/s41598-021-03150-w

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