Title :
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
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;
Conference_Titel :
Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
Conference_Location :
Albuquerque, NM
Print_ISBN :
978-1-4244-4879-1
Electronic_ISBN :
1063-7125
DOI :
10.1109/CBMS.2009.5255319
