NDLI: Automatic Classification System for Lumbar Spine X-ray Images

Content Provider	IEEE Xplore Digital Library
Author	Koompairojn, S. Hua, K.A. Bhadrakom, C.
Copyright Year	2006
Description	Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL (Koompairojn, S.; Hua, K.A.)
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
Starting Page	213
Ending Page	218
File Size	362084
Page Count	6
File Format	PDF
ISBN	0769525171
ISSN	10637125
DOI	10.1109/CBMS.2006.54
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spine X-ray imaging Biomedical imaging Medical diagnostic imaging Surgery Magnetic resonance imaging Prototypes Management training Image databases Pain
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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