Classifying Cervical Spondylosis Based on Fuzzy Calculation
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 subje...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/182956 |
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| _version_ | 1832558190661730304 |
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| author | Xinghu Yu Liangbi Xiang |
| author_facet | Xinghu Yu Liangbi Xiang |
| author_sort | Xinghu Yu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9e27d27e10bd45f1b32be8e85730876d |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-9e27d27e10bd45f1b32be8e85730876d2025-02-03T01:33:05ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/182956182956Classifying Cervical Spondylosis Based on Fuzzy CalculationXinghu Yu0Liangbi Xiang1Liaoning Medical University, General Hospital of Shenyang Military Area Command Training Base for Graduate, No. 83, Wenhua Road, Shenhe District, Shenyang 110016, ChinaDepartment of Orthopedics Surgery, General Hospital of Shenyang Military Area Command, No. 83, Wenhua Road, Shenhe District, Shenyang 110016, ChinaConventional 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.http://dx.doi.org/10.1155/2014/182956 |
| spellingShingle | Xinghu Yu Liangbi Xiang Classifying Cervical Spondylosis Based on Fuzzy Calculation Abstract and Applied Analysis |
| title | Classifying Cervical Spondylosis Based on Fuzzy Calculation |
| title_full | Classifying Cervical Spondylosis Based on Fuzzy Calculation |
| title_fullStr | Classifying Cervical Spondylosis Based on Fuzzy Calculation |
| title_full_unstemmed | Classifying Cervical Spondylosis Based on Fuzzy Calculation |
| title_short | Classifying Cervical Spondylosis Based on Fuzzy Calculation |
| title_sort | classifying cervical spondylosis based on fuzzy calculation |
| url | http://dx.doi.org/10.1155/2014/182956 |
| work_keys_str_mv | AT xinghuyu classifyingcervicalspondylosisbasedonfuzzycalculation AT liangbixiang classifyingcervicalspondylosisbasedonfuzzycalculation |