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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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| Wydane w: | Br J Radiol |
|---|---|
| Główni autorzy: | , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
The British Institute of Radiology.
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | 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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