Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods.
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ABSTRACT:
SUBMITTER: Goedmakers CMW
PROVIDER: S-EPMC9729832 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Publications
Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods.
Goedmakers C M W CMW Pereboom L M LM Schoones J W JW de Leeuw den Bouter M L ML Remis R F RF Staring M M Vleggeert-Lankamp C L A CLA
Brain & spine 20221114
•Neural network approaches show the most potential for automated image analysis of thecervical spine.•Fully automatic convolutional neural network (CNN) models are promising Deep Learning methods for segmentation.•In cervical spine analysis, the biomechanical features are most often studied using finiteelement models.•The application of artificial neural networks and support vector machine models looks promising for classification purposes.•This article provides an overview of the methods for re ...[more]
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