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Abstract and Applied Analysis
Volume 2014, Article ID 182956, 7 pages
Research Article

Classifying Cervical Spondylosis Based on Fuzzy Calculation

1Liaoning Medical University, General Hospital of Shenyang Military Area Command Training Base for Graduate, No. 83, Wenhua Road, Shenhe District, Shenyang 110016, China
2Department of Orthopedics Surgery, General Hospital of Shenyang Military Area Command, No. 83, Wenhua Road, Shenhe District, Shenyang 110016, China

Received 20 April 2014; Revised 19 May 2014; Accepted 19 May 2014; Published 15 June 2014

Academic Editor: Shen Yin

Copyright © 2014 Xinghu Yu and Liangbi Xiang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Conventional evaluation of X-ray radiographs aiming at diagnosing cervical spondylosis (CS) often depends on the clinic experiences, visual reading of radiography, and analysis of certain regions of interest (ROIs) about clinician himself or herself. These steps are not only time consuming and subjective, but also prone to error for inexperienced clinicians due to low resolution of X-ray. This paper proposed an approach based on fuzzy calculation to classify CS. From the X-ray of CS manifestations, we extracted 10 effective ROIs to establish X-ray symptom-disease table of CS. Fuzzy calculation model based on the table can be carried out to classify CS and improve the diagnosis accuracy. The proposed model yields approximately 80.33% accuracy in classifying CS.