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https://hdl.handle.net/20.500.14279/23633
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Loizou, Christos P. | - |
dc.contributor.author | Murray, Víctor | - |
dc.contributor.author | Pattichis, Marios S. | - |
dc.contributor.author | Pantziaris, Marios | - |
dc.contributor.author | Pattichis, Constantinos S. | - |
dc.date.accessioned | 2021-11-15T06:04:35Z | - |
dc.date.available | 2021-11-15T06:04:35Z | - |
dc.date.issued | 2010-06-14 | - |
dc.identifier.citation | IEEE Southwest Symposium on Image Analysis & Interpretation, 2010, 23-25 May, Austin, TX, USA | en_US |
dc.identifier.isbn | 978-1-4244-7802-6 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/23633 | - |
dc.description.abstract | We 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.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © IEEE | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | MRI | en_US |
dc.subject | Multiple sclerosis | en_US |
dc.subject | Multiscale AM-FM analysis | en_US |
dc.title | AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Intercollege | en_US |
dc.collaboration | University of New Mexico | en_US |
dc.collaboration | Cyprus Institute of Neurology and Genetics | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.subject.category | Medical Engineering | en_US |
dc.country | Cyprus | en_US |
dc.country | United States | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | IEEE Southwest Symposium on Image Analysis & Interpretation | en_US |
dc.identifier.doi | 10.1109/SSIAI.2010.5483919 | en_US |
dc.identifier.scopus | 2-s2.0-77954791883 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/77954791883 | - |
cut.common.academicyear | 2009-2010 | en_US |
dc.identifier.spage | 61 | en_US |
dc.identifier.epage | 64 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-1247-8573 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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