IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaaa/182956.html
   My bibliography  Save this article

Classifying Cervical Spondylosis Based on Fuzzy Calculation

Author

Listed:
  • Xinghu Yu
  • Liangbi Xiang

Abstract

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.

Suggested Citation

  • Xinghu Yu & Liangbi Xiang, 2014. "Classifying Cervical Spondylosis Based on Fuzzy Calculation," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-7, June.
    • Handle: RePEc:hin:jnlaaa:182956
    DOI: 10.1155/2014/182956
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AAA/2014/182956.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/AAA/2014/182956.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/182956?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlaaa:182956. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.