Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury

Muscle fat infiltration (MFI) of the deep cervical spine extensors has been observed in cervical spine conditions using time-consuming and rater-dependent manual techniques. Deep learning convolutional neural network (CNN) models have demonstrated state-of-the-art performance in segmentation tasks....

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Bibliografiske detaljer
Udgivet i:	Sci Rep
Main Authors:	Weber, Kenneth A., Smith, Andrew C., Wasielewski, Marie, Eghtesad, Kamran, Upadhyayula, Pranav A., Wintermark, Max, Hastie, Trevor J., Parrish, Todd B., Mackey, Sean, Elliott, James M.
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Publishing Group UK 2019
Fag:	Article
Online adgang:	https://ncbi.nlm.nih.gov/pmc/articles/PMC6538618/ https://ncbi.nlm.nih.gov/pubmed/31138878 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-44416-8
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Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury

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