Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction

Quick, efficient, fully automated open-source programs to segment muscle and adipose tissues from computed tomography (CT) images would be a great contribution to body composition research. This study examined the concordance of cross-sectional areas (CSA) and densities for muscle, visceral adipose...

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Detalles Bibliográficos
Autores principales: Gomez-Perez, Sandra L., Zhang, Yanyu, Byrne, Cecily, Wakefield, Connor, Geesey, Thomas, Sclamberg, Joy, Peterson, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101564/
https://www.ncbi.nlm.nih.gov/pubmed/35591047
http://dx.doi.org/10.3390/s22093357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101564/
https://www.ncbi.nlm.nih.gov/pubmed/35591047
http://dx.doi.org/10.3390/s22093357

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