Machine Learning Models for Sarcopenia Identification Based on Radiomic Features of Muscles in Computed Tomography

The diagnosis of sarcopenia requires accurate muscle quantification. As an alternative to manual muscle mass measurement through computed tomography (CT), artificial intelligence can be leveraged for the automation of these measurements. Although generally difficult to identify with the naked eye, t...

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Detalles Bibliográficos
Autor principal: Kim, Young Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394435/
https://www.ncbi.nlm.nih.gov/pubmed/34444459
http://dx.doi.org/10.3390/ijerph18168710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394435/
https://www.ncbi.nlm.nih.gov/pubmed/34444459
http://dx.doi.org/10.3390/ijerph18168710

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