Diagnostic accuracy of deep learning for evaluation of C-spine injury from lateral neck radiographs-Reference-Cited by-同舟云学术

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Diagnostic accuracy of deep learning for evaluation of C-spine injury from lateral neck radiographs

Published:2022-08 Issue:8 Volume:8 Page:e10372
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Boonrod Arunnit^ORCID,Boonrod Artit^ORCID,Meethawolgul Atthaphon,Twinprai Prin^ORCID

Funder

Khon Kaen University

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference24 articles.

1. Traumatic spinal injury: global epidemiology and worldwide volume;Kumar;World Neurosurg,2018

2. People with spinal cord injury in Thailand;Kovindha;Am. J. Phys. Med. Rehabil.,2017

3. Multidetector CT of blunt cervical spine trauma in adults;Dreizin;Radiographics,2014

4. A multilevel noncontiguous spinal fracture with cervical and thoracic spinal cord injury;Sugandhavesa;Int. J. Surg. Case Rep.,2021

5. Incidence and factors associated with falls in independent ambulatory individuals with spinal cord injury: a 6-month prospective study;Phonthee;Phys. Ther.,2013

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5. Identification of cervical spine fracture using deep learning;Australian Journal of Multi-Disciplinary Engineering;2024-01-28

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