Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions

Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions

Abstract 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...

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Bibliographic Details
Main Authors: Kenneth A. Weber, Rebecca Abbott, Vivie Bojilov, Andrew C. Smith, Marie Wasielewski, Trevor J. Hastie, Todd B. Parrish, Sean Mackey, James M. Elliott
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-95972-x

Internet

https://doi.org/10.1038/s41598-021-95972-x

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