Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23633
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dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorMurray, Víctor-
dc.contributor.authorPattichis, Marios S.-
dc.contributor.authorPantziaris, Marios-
dc.contributor.authorPattichis, Constantinos S.-
dc.date.accessioned2021-11-15T06:04:35Z-
dc.date.available2021-11-15T06:04:35Z-
dc.date.issued2010-06-14-
dc.identifier.citationIEEE Southwest Symposium on Image Analysis & Interpretation, 2010, 23-25 May, Austin, TX, USAen_US
dc.identifier.isbn978-1-4244-7802-6-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23633-
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_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMRIen_US
dc.subjectMultiple sclerosisen_US
dc.subjectMultiscale AM-FM analysisen_US
dc.titleAM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosisen_US
dc.typeConference Papersen_US
dc.collaborationIntercollegeen_US
dc.collaborationUniversity of New Mexicoen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryMedical Engineeringen_US
dc.countryCyprusen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceIEEE Southwest Symposium on Image Analysis & Interpretationen_US
dc.identifier.doi10.1109/SSIAI.2010.5483919en_US
dc.identifier.scopus2-s2.0-77954791883-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/77954791883-
cut.common.academicyear2009-2010en_US
dc.identifier.spage61en_US
dc.identifier.epage64en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-1247-8573-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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