Classifying Cervical Spondylosis Based on Fuzzy Calculation
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yu, Xinghu& Xiang, Liangbi. 2014. Classifying Cervical Spondylosis Based on Fuzzy Calculation. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013433
Modern Language Association (MLA)
Yu, Xinghu& Xiang, Liangbi. Classifying Cervical Spondylosis Based on Fuzzy Calculation. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1013433
American Medical Association (AMA)
Yu, Xinghu& Xiang, Liangbi. Classifying Cervical Spondylosis Based on Fuzzy Calculation. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013433
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013433