Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area

BACKGROUND: Manual muscle mass assessment based on Computed Tomography (CT) scans is recognized as a good marker for malnutrition, sarcopenia, and adverse outcomes. However, manual muscle mass analysis is cumbersome and time consuming. An accurate fully automated method is needed. In this study, we...

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Detalles Bibliográficos
Autores principales: Van Erck, Dennis, Moeskops, Pim, Schoufour, Josje D., Weijs, Peter J. M., Scholte Op Reimer, Wilma J. M., Van Mourik, Martijn S., Janmaat, Yvonne C., Planken, R. Nils, Vis, Marije, Baan, Jan, Hemke, Robert, Išgum, Ivana, Henriques, José P., De Vos, Bob D., Delewi, Ronak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133929/
https://www.ncbi.nlm.nih.gov/pubmed/35634380
http://dx.doi.org/10.3389/fnut.2022.781860

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133929/
https://www.ncbi.nlm.nih.gov/pubmed/35634380
http://dx.doi.org/10.3389/fnut.2022.781860

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