CBIR - Content based information retrieval in Optical Biopsies
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hdl:2117/10724
Document typeConference report
Defense date2010
Rights accessRestricted access - publisher's policy
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Abstract
The present paper describes the design and usage of an Internet medical image search engine based on the queryby-example paradigm and the multimedia standard ISO-15938-12:2008. The system, which allows combining Content Based Information Retrieval (CBIR) techniques such as “query by image” with traditional XML metadata filtering, is applied to annotate and query Optical Biopsies-OB (in the present case Confocal endomicroscopy-CEM). The OB-CEM are taken by
endoscopists, not trained in microscopic morphology which is the domain of the surgical pathology. To gain diagnostic
confidence the endoscopists could consult the images to a pathologist or could use the system proposed in the paper. That is, to search for similar images to compare the diagnosis.
CitationTous, R.; Ferrer-Roca, O.; Delgado, J. CBIR - Content based information retrieval in Optical Biopsies. A: Winter Course of the CATAI (Centre of Advanced Technology in Image Analysis). "XVIII Winter Course of the CATAI". Tenerife: 2010, p. 41-46.
ISBN978-84-613-7246-1
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