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Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort
OBJECTIVE: To investigate a fully automated CT-based adiposity tool, applying it to a longitudinal adult screening cohort. METHODS: A validated automated adipose tissue segmentation algorithm was applied to non-contrast abdominal CT scans in 8852 consecutive asymptomatic adults (mean age, 57.1 years...
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| Publicado no: | Br J Radiol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The British Institute of Radiology.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6223139/ https://ncbi.nlm.nih.gov/pubmed/29557216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20170968 |
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