Deep learning based sarcopenia prediction from shear-wave ultrasonographic elastography and gray scale ultrasonography of rectus femoris muscle

We aim to evaluate the performance of a deep convolutional neural network (DCNN) in predicting the presence or absence of sarcopenia using shear-wave elastography (SWE) and gray-scale ultrasonography (GSU) of rectus femoris muscle as an imaging biomarker. This retrospective study included 160 pair s...

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Detalles Bibliográficos
Autores principales: Yi, Jisook, Shin, YiRang, Hahn, Seok, Lee, Young Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897437/
https://www.ncbi.nlm.nih.gov/pubmed/35246589
http://dx.doi.org/10.1038/s41598-022-07683-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897437/
https://www.ncbi.nlm.nih.gov/pubmed/35246589
http://dx.doi.org/10.1038/s41598-022-07683-6

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