A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images

BACKGROUND: Muscle wasting (Sarcopenia) is associated with poor outcomes in cancer patients. Early identification of sarcopenia can facilitate nutritional and exercise intervention. Cross-sectional skeletal muscle (SM) area at the third lumbar vertebra (L3) slice of a computed tomography (CT) image...

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Detalles Bibliográficos
Autores principales: Amarasinghe, Kaushalya C., Lopes, Jamie, Beraldo, Julian, Kiss, Nicole, Bucknell, Nicholas, Everitt, Sarah, Jackson, Price, Litchfield, Cassandra, Denehy, Linda, Blyth, Benjamin J., Siva, Shankar, MacManus, Michael, Ball, David, Li, Jason, Hardcastle, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138051/
https://www.ncbi.nlm.nih.gov/pubmed/34026597
http://dx.doi.org/10.3389/fonc.2021.580806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138051/
https://www.ncbi.nlm.nih.gov/pubmed/34026597
http://dx.doi.org/10.3389/fonc.2021.580806

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