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An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging

dc.contributor.authorConstantinou, Ioannis P.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorTanos, Vasiliosen
dc.contributor.authorNeofytou, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.creatorConstantinou, Ioannis P.en
dc.creatorPattichis, Marios S.en
dc.creatorTanos, Vasiliosen
dc.creatorNeofytou, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.date.accessioned2019-11-13T10:39:26Z
dc.date.available2019-11-13T10:39:26Z
dc.date.issued2012
dc.identifier.isbn978-1-4673-4358-9
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53789
dc.description.abstractThe use of multiscale AM-FM analysis systems has been recently demonstrated in a variety of applications in medical image analysis. In all of these applications, a fixed filter-bank is used as a preprocessing step for estimating different AM-FM components from different scales. In this paper, for the first time, we introduce the use of an adaptive, multiscale AM-FM approach that searches for the optimal filter-bank specification for use in image classification. We demonstrate an example application in hysteroscopy imaging, for identification of gynaecological cancer, where the optimal filter-bank turns out to be circularly symmetric. © 2012 IEEE.en
dc.sourceIEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012en
dc.source12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84872833224&doi=10.1109%2fBIBE.2012.6399760&partnerID=40&md5=88dc6e76c98ac6be1f628c4583224dcf
dc.subjectOptimizationen
dc.subjectcanceren
dc.subjectEndoscopyen
dc.subjectDiseasesen
dc.subjectMedical imagingen
dc.subjectBioinformaticsen
dc.subjectAmplitude modulationen
dc.subjectMultiscalesen
dc.subjectTexture analysisen
dc.subjectHysteroscopyen
dc.subjectAM-FM representationen
dc.subjectDifferent scaleen
dc.subjecthysteroscopy imagingen
dc.subjectImaging analysisen
dc.subjectMedical image analysisen
dc.subjectMultiscale am-fm analysisen
dc.subjectmultiscale medical imaging analysisen
dc.subjectPre-processing stepen
dc.titleAn adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imagingen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/BIBE.2012.6399760
dc.description.startingpage744
dc.description.endingpage747
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: IEEEen
dc.description.notesIEEE Computer Societyen
dc.description.notesUniversity of Cyprusen
dc.description.notesBiological and AI Foundation (BAIF)en
dc.description.notesFrederick Universityen
dc.description.notesConference code: 95206en
dc.description.notesCited By :2</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827


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