Title
Automatic Classification System For Lumbar Spine X-Ray Images
Abstract
Existing computer-based spinal stenosis diagnosis systems are not fully automatic. Their performance depends on the knowledge and experience of the user. Such a system is typically intended for specialists such as radiologists. We present in this paper a fully automatic system, more suitable for general practitioners for use in screening and initial diagnosis. To evaluate the performance of the proposed techniques, we build a system prototype with two environments - one for managing training images and building the classifiers, and the other environment for diagnosis use in practice. Our experimental results, based on an X-ray image database NHANES II available from the National Library of Medicine, indicates that the proposed system is effective for screening purposes. © 2006 IEEE.
Publication Date
12-22-2006
Publication Title
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Volume
2006
Number of Pages
213-218
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/CBMS.2006.54
Copyright Status
Unknown
Socpus ID
33845589273 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33845589273
STARS Citation
Koompairojn, Soontharee; Hua, Kien A.; and Bhadrakom, Chutima, "Automatic Classification System For Lumbar Spine X-Ray Images" (2006). Scopus Export 2000s. 7495.
https://stars.library.ucf.edu/scopus2000/7495