A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-32377-3.pdf
Reference65 articles.
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3. Jebri, B. et al. Detection of degenerative change in lateral projection cervical spine x-ray images. In Medical Imaging 2015: Computer-Aided Diagnosis, vol. 9414, 941404 (International Society for Optics and Photonics, 2015).
4. Singh, S., Kumar, D. & Kumar, S. Risk factors in cervical spondylosis. Journal of Clinical Orthopaedics and Trauma 5, 221–226 (2014).
5. Hoggjohnson, S., Velde, G. V. D., Carroll, L. J., Holm, L. W. & Cassidy, J. D. The burden and determinants of neck pain in the general population: Results of the bone and joint decade 2000–2010 task force on neck pain and its associated disorders. best evidence on the burden and determinants of neck. European Spine Journal 17, 39–51 (2008).
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