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...

Descripción completa

Detalles Bibliográficos
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:
Article
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

Internet

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