Artificial intelligence-aided CT segmentation for body composition analysis: a validation study

BACKGROUND: Body composition is associated with survival outcome in oncological patients, but it is not routinely calculated. Manual segmentation of subcutaneous adipose tissue (SAT) and muscle is time-consuming and therefore limited to a single CT slice. Our goal was to develop an artificial-intell...

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Detalles Bibliográficos
Autores principales: Borrelli, Pablo, Kaboteh, Reza, Enqvist, Olof, Ulén, Johannes, Trägårdh, Elin, Kjölhede, Henrik, Edenbrandt, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947128/
https://www.ncbi.nlm.nih.gov/pubmed/33694046
http://dx.doi.org/10.1186/s41747-021-00210-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947128/
https://www.ncbi.nlm.nih.gov/pubmed/33694046
http://dx.doi.org/10.1186/s41747-021-00210-8

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