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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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Detalhes bibliográficos
Publicado no:Eur Radiol Exp
Main Authors: Borrelli, Pablo, Kaboteh, Reza, Enqvist, Olof, Ulén, Johannes, Trägårdh, Elin, Kjölhede, Henrik, Edenbrandt, Lars
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7947128/
https://ncbi.nlm.nih.gov/pubmed/33694046
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41747-021-00210-8
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