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Intelligent System for Computer-assisted Clinical Cancer Image Analysis

dc.contributor.authorBondarenko, Anatoly N.
dc.contributor.authorKatsuk, Andrei V.
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorKaragiannis, Dimitris
dc.date.accessioned2019-05-15T09:28:52Z
dc.date.available2019-05-15T09:28:52Z
dc.date.issued2007
dc.description.abstractWe present CaDiS - a new multimedia medical workstation, which helps early and precise diagnosis and treatment of cervical cancer. The workstation is developed with the close participation of medical staff of Novosibirsk Clinical Center. CaDiS is an advanced tool for medical image recognition, designed on the basis of new algorithms for medical image analysis. It is under intensive development and will include history of illness, analysis and prediction, based on perceptual and conceptual semantics. The detection accuracy of the proposed system has reached to 91%, providing thus an indication that such intelligent schemes could be used as a supplementary diagnostic tool in cervical cancer detection.en
dc.identifier.isbn978-3-88579-2017
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22677
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformation systems technology and its applications – 6th international conference – ISTA 2007
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-107
dc.subjectComputer aided diagnosis
dc.subjectneural networks
dc.subjectmultimedia medical workstation
dc.subjectmedical image analysis
dc.subjectintelligent interface
dc.titleIntelligent System for Computer-assisted Clinical Cancer Image Analysisen
dc.typeText/Conference Paper
gi.citation.endPage220
gi.citation.publisherPlaceBonn
gi.citation.startPage215
gi.conference.dateMay 23-25, 2007
gi.conference.locationKharkiv, Ukraine
gi.conference.sessiontitleRegular Research Papers

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