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19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) (2006)
Salt Lake City, Utah
June 22, 2006 to June 23, 2006
ISSN: 1063-7125
ISBN: 0-7695-2517-1
pp: 213-218
Soontharee Koompairojn , University of Central Florida, USA
Kien A. Hua , University of Central Florida, USA
Chutima Bhadrakom , Thai Nakarin Hospital, Thailand
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 purpos
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CITATION

S. Koompairojn, C. Bhadrakom and K. A. Hua, "Automatic Classification System for Lumbar Spine X-ray Images," 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)(CBMS), Salt Lake City, Utah, 2006, pp. 213-218.
doi:10.1109/CBMS.2006.54
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