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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorMurray, V.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPantzaris, Marios C.en
dc.contributor.authorPattichis, Constantinos S.en
dc.creatorLoizou, Christos P.en
dc.creatorMurray, V.en
dc.creatorPattichis, Marios S.en
dc.creatorPantzaris, Marios C.en
dc.creatorPattichis, Constantinos S.en
dc.date.accessioned2019-11-13T10:41:03Z
dc.date.available2019-11-13T10:41:03Z
dc.date.issued2010
dc.identifier.isbn978-1-4244-7802-6
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54423
dc.description.abstractWe present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white matter (NAWM) longitudinally (0 and 6 months) and also for progression of disease. We use the expanded disability status scale (EDSS) to assess disease progression. The findings suggest that the high-frequency scale instantaneous amplitude can be used to differentiate between lesions associated with early and advanced disease stages. The classification results using the IF information and support vector machines produced a maximum sensitivity of 0.86, specificity of 0.76 and a maximum correct classification of 0.71. © 2010 IEEE.en
dc.sourceProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretationen
dc.source2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77954791883&doi=10.1109%2fSSIAI.2010.5483919&partnerID=40&md5=feefc4e75b52462962f165719811dd44
dc.subjectHigh frequency HFen
dc.subjectMultiple sclerosisen
dc.subjectMRIen
dc.subjectFrequency modulationen
dc.subjectImage analysisen
dc.subjectDisease progressionen
dc.subjectAmplitude modulationen
dc.subjectInstantaneous amplitudeen
dc.subjectMultiscalesen
dc.subjectClassification resultsen
dc.subjectWhite matteren
dc.subjectWhite matter lesionsen
dc.subjectTexture imageen
dc.subjectMaximum sensitivityen
dc.subjectMultiscale AM-FM analysisen
dc.titleAM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosisen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/SSIAI.2010.5483919
dc.description.startingpage61
dc.description.endingpage64
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: The Institute of Electrical and Electronics Engineersen
dc.description.notesIEEE Computer Societyen
dc.description.notesConference code: 81155en
dc.description.notesCited By :1</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.contributor.orcidLoizou, Christos P. [0000-0003-1247-8573]
dc.contributor.orcidPantzaris, Marios C. [0000-0003-2937-384X]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827
dc.gnosis.orcid0000-0003-1247-8573
dc.gnosis.orcid0000-0003-2937-384X


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