Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment

OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screening population. METHODS: A fully automated validated muscle segmentation algorithm was applied to 9310 non-contrast CT scans, including a primary screening cohort of 8037 consecutive asymptomatic adults...

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Detalhes bibliográficos
Publicado no:Br J Radiol
Main Authors: Graffy, Peter M., Liu, Jiamin, Pickhardt, Perry J., Burns, Joseph E., Yao, Jianhua, Summers, Ronald M.
Formato: Artigo
Idioma:Inglês
Publicado em: The British Institute of Radiology. 2019
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6724622/
https://ncbi.nlm.nih.gov/pubmed/31199670
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20190327
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