High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography angiography

BACKGROUND: Plaque analysis with coronary computed tomography angiography (CCTA) is a promising tool to identify high risk of future coronary events. The analysis process is time-consuming, and requires highly trained readers. Deep learning models have proved to excel at similar tasks, however, trai...

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Detalles Bibliográficos
Autores principales: Fagman, Erika, Alvén, Jennifer, Westerbergh, Johan, Kitslaar, Pieter, Kercsik, Michael, Cederlund, Kerstin, Duvernoy, Olov, Engvall, Jan, Gonçalves, Isabel, Markstad, Hanna, Ostenfeld, Ellen, Bergström, Göran, Hjelmgren, Ola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199173/
https://www.ncbi.nlm.nih.gov/pubmed/37215775
http://dx.doi.org/10.1016/j.heliyon.2023.e16058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199173/
https://www.ncbi.nlm.nih.gov/pubmed/37215775
http://dx.doi.org/10.1016/j.heliyon.2023.e16058

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