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dc.contributor.authorFerrer-Roca, Olga
dc.contributor.authorDuval, Vinicius
dc.contributor.authorDelgado Mercè, Jaime
dc.contributor.authorRolim, Claudio
dc.contributor.authorTous Liesa, Rubén
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2010-06-01T13:24:10Z
dc.date.available2010-06-01T13:24:10Z
dc.date.created2010
dc.date.issued2010
dc.identifier.citationFerrer-Roca, O. [et al.]. Query by image medical training: optical biopsy with confocal endoscopy (OB-CEM). A: THE INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS. "HEALTHINF 2010". HOTEL SIDI SALER, VALENCIA: 2010, p. 166-172.
dc.identifier.isbn978-989-674-016-0
dc.identifier.urihttp://hdl.handle.net/2117/7467
dc.description.abstractThe use of Optical Biopsies-OB (in the present case Confocal endomicroscopy-CEM) is limited due to difficulties to interpret images. 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 technique proposed in the paper. That is, to search for similar images on Internet to compare the diagnosis. The present paper is a positioning paper of how to build a CEM-image metadata to be used by the multimedia standards ISO-15938-12:2008 and ISO-24800-3 in order to search on line using a “query by image”. Metadata semantics based on Kudo colorectal crypt architecture was used for annotation or automatic image extraction. The training set was composed of 25 OB-CEM chromo-colonoscopy images taken with a FICE (Fujinon Intelligent Chromoendoscopy). Those parameters were, whenever possible, automatically extracted from the image and included in the metadata for image mining. Future developments will annotate histological images is such a way that the query could also retrieve the histological image.
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subjectÀrees temàtiques de la UPC::Ciències de la visió::Òptica física
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshArtificial intelligence
dc.subject.lcshMultimedia
dc.titleQuery by image medical training: optical biopsy with confocal endoscopy (OB-CEM)
dc.typeConference report
dc.subject.lemacIntel·ligència artificial
dc.subject.lemacMultimèdia -- Congressos
dc.contributor.groupUniversitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes
dc.identifier.dl303438/09
dc.rights.accessOpen Access
drac.iddocument2528211
dc.description.versionPostprint (published version)
upcommons.citation.authorFerrer-Roca, O.; Duval, V.; Delgado, J.; Rolim, C.; Tous, R.
upcommons.citation.contributorTHE INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS
upcommons.citation.pubplaceHOTEL SIDI SALER, VALENCIA
upcommons.citation.publishedtrue
upcommons.citation.publicationNameHEALTHINF 2010
upcommons.citation.startingPage166
upcommons.citation.endingPage172


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