Validation of skeletal muscle and adipose tissue measurements using a fully automated body composition analysis neural network versus a semi-automatic reference program with human correction in patients with lung cancer

RATIONALE AND OBJECTIVES: To validate skeletal muscle and adipose tissues cross sectional area (CSA) and densities between a fully automated neural network (test program) and a semi-automated program requiring human correction (reference program) for lumbar 1 (L1) and lumbar 2 (L2) CT scans in patie...

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Detalles Bibliográficos
Autores principales: Byrne, Cecily A., Zhang, Yanyu, Fantuzzi, Giamila, Geesey, Thomas, Shah, Palmi, Gomez, Sandra L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816970/
https://www.ncbi.nlm.nih.gov/pubmed/36619471
http://dx.doi.org/10.1016/j.heliyon.2022.e12536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816970/
https://www.ncbi.nlm.nih.gov/pubmed/36619471
http://dx.doi.org/10.1016/j.heliyon.2022.e12536

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