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Author Zhiyun Xue ♦ Antani, S. ♦ Long, L.R. ♦ Thoma, G.R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image retrieval ♦ Biomedical imaging ♦ Image databases ♦ Indexing ♦ Information retrieval ♦ Content based retrieval ♦ Visual databases ♦ Cervical cancer ♦ Bridges ♦ Back
Abstract Content-based indexing and retrieval is gaining increasing interest in the medical domain with the growing size of medical image databases. We present here a Web-accessible retrieval system for searching for similar uterine cervix images based on their visual characteristics. The system operates on a subset of a large database created for archiving patient records collected by two key projects in cervical cancer research. It was developed to bridge the “gaps” that hold back the practical adoption of most CBIR systems. This collaboration between engineers and gynecological experts promises to provide a new biomedical resource beyond current text-based searching tools.
Description Author affiliation: National Library of Medicine, National Institutes of Health (Zhiyun Xue; Antani, S.; Long, L.R.; Thoma, G.R.)
ISBN 9781424448791
ISSN 10637125
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-08-02
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.37 MB
Page Count 5
Starting Page 1
Ending Page 5


Source: IEEE Xplore Digital Library