Content-based image retrieval in picture archiving and communications systems...Proccedings of the 16th Symposium for Computer Applications in Radiology. 'PACS: Performance Improvement in Radiology.' Houston TX, May 6-9, 1999
We propose the concept of content-based image retrieval (CBIR) and demonstrate its potential use in picture archival and communication system (PACS). We address the importance of image retrieval in PACS and highlight the drawbacks existing in traditional textual-based retrieval. We use a digital mam...
| Publicado en: | Journal of Digital Imaging Vol. 12; pp. 81 - 84 |
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| Autores principales: | , |
| Formato: | pictorial Journal Article |
| Publicado: |
Springer Nature
May1999 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107211435&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107211435 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: May1999 Supplement vid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 107211435 107211435 1999061201 NLM10342174 107211435 ppf: 81 ppct: 3 formats: tig: atl: Content-based image retrieval in picture archiving and communications systems...Proccedings of the 16th Symposium for Computer Applications in Radiology. 'PACS: Performance Improvement in Radiology.' Houston TX, May 6-9, 1999 aug: au: Qi H Snyder WE affil: Center for Advanced Computing and Communication, Box 7914, North Carolina State University, Raleigh, NC 27695-7914 sug: subj: Picture Archiving and Communication Systems Information Retrieval Abstracting and Indexing Resource Databases, Health Mammography Funding Source ab: We propose the concept of content-based image retrieval (CBIR) and demonstrate its potential use in picture archival and communication system (PACS). We address the importance of image retrieval in PACS and highlight the drawbacks existing in traditional textual-based retrieval. We use a digital mammogram database as our testing data to illustrate the idea of CBIR, where retrieval is carried out based on object shape, size, and brightness histogram. With a user-supplied query image, the system can find images with similar characteristics from the archive, and return them along with the corresponding ancillary data, which may provide a valuable reference for radiologists in a new case study. Furthermore, CBIR can perform like a consultant in emergencies when radiologists are not available. We also show that content-based retrieval is a more natural approach to man-machine communication. Copyright (c) 1999 by W.B. Saunders Company pubtype: Academic Journal doctype: pictorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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