A system for searching uterine cervix images by visual attributes

Author

Xue, Zhiyun ; Antani, Sameer ; Long, L. Rodney ; Thoma, George R.

Author_Institution

Nat. Libr. of Med., Nat. Institutes of Health, Bethesda, MD, USA

fYear

2009

fDate

2-5 Aug. 2009

Firstpage

1

Lastpage

5

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 ldquogapsrdquo 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.

Keywords

cancer; content-based retrieval; database indexing; gynaecology; image retrieval; medical information systems; search engines; visual databases; CBIR system; Web-accessible retrieval system; biomedical resource; cervical cancer research; content-based indexing; content-based retrieval; medical image database; patient record; text-based searching tool; uterine cervix image; visual attributes; Back; Biomedical imaging; Bridges; Cervical cancer; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on

Conference_Location

Albuquerque, NM

ISSN

1063-7125

Print_ISBN

978-1-4244-4879-1

Electronic_ISBN

1063-7125

Type

conf

DOI

10.1109/CBMS.2009.5255319

Filename

5255319