Cargando…
Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation techniques. A convolutional neural network (CNN) model was trained to segment seven cervical spine muscle groups (left and...
Autores principales: | Weber, Kenneth A., Abbott, Rebecca, Bojilov, Vivie, Smith, Andrew C., Wasielewski, Marie, Hastie, Trevor J., Parrish, Todd B., Mackey, Sean, Elliott, James M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8368246/ https://www.ncbi.nlm.nih.gov/pubmed/34400672 http://dx.doi.org/10.1038/s41598-021-95972-x |
Ejemplares similares
-
Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury
por: Weber, Kenneth A., et al.
Publicado: (2019) -
Muscle fat infiltration following whiplash: A computed tomography and magnetic resonance imaging comparison
por: Elliott, James M., et al.
Publicado: (2020) -
Fatty infiltration in cervical flexors and extensors in patients with degenerative cervical myelopathy using a multi-muscle segmentation model
por: Paliwal, Monica, et al.
Publicado: (2021) -
Quantification of cervical spine muscle fat: a comparison between T1-weighted and multi-echo gradient echo imaging using a variable projection algorithm (VARPRO)
por: Elliott, James M, et al.
Publicado: (2013) -
Fat infiltration of the posterior paraspinal muscles is inversely associated with the fat infiltration of the psoas muscle: a potential compensatory mechanism in the lumbar spine
por: Muellner, Maximilian, et al.
Publicado: (2023)