Literature Review of Automated Grading Systems Utilizing MRI for Neuroforaminal Stenosis

Laulloo, A., Meacock, J., Currie, S. et al. (2 more authors) (2023) Literature Review of Automated Grading Systems Utilizing MRI for Neuroforaminal Stenosis. Current Medical Imaging, 19 (8). pp. 874-884. ISSN 1573-4056

Abstract

Metadata

Item Type: Article
Authors/Creators:
Keywords: Cervical; Spine; foramen; neural foraminal stenosis; narrowing brachialgia; MRI; measure; severity; automated grading system; structure feature learning; machine learning
Dates:
  • Published: July 2023
  • Published (online): 3 October 2022
  • Accepted: 19 March 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EPSRC (Engineering and Physical Sciences Research Council)
EP/R025819/1
Depositing User: Symplectic Publications
Date Deposited: 20 Oct 2023 09:29
Last Modified: 20 Oct 2023 09:29
Status: Published
Publisher: Bentham Science Publishers
Identification Number: 10.2174/1573405618666220628100928
Open Archives Initiative ID (OAI ID):

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