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First and second order statistical texture features in carotid plaque image analysis: preliminary results from ongoing research.

dc.contributor.authorKyriacou, Efthyvoulos C.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorPetroudi, Stylianien
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorGriffin, Maura B.en
dc.contributor.authorKakkos, Stavros K.en
dc.contributor.authorMakris, Gregory C.en
dc.creatorKyriacou, Efthyvoulos C.en
dc.creatorNicolaïdes, Andrew N.en
dc.creatorPattichis, Constantinos S.en
dc.creatorPetroudi, Stylianien
dc.creatorPattichis, Marios S.en
dc.creatorGriffin, Maura B.en
dc.creatorKakkos, Stavros K.en
dc.creatorMakris, Gregory C.en
dc.date.accessioned2019-11-13T10:40:50Z
dc.date.available2019-11-13T10:40:50Z
dc.date.issued2011
dc.identifier.issn1557-170X
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54326
dc.description.abstractCarotid plaques have been associated with ipsilateral neurological symptoms. High-resolution ultrasound can provide information not only on the degree of carotid artery stenosis but also on the characteristics of the arterial wall including the size and consistency of atherosclerotic plaques. The aim of this study was to determine cerebrovascular risk stratification based on ultrasonic plaque texture features and clinical features in patients with asymptomatic internal carotid artery (ICA) stenosis. It is shown that cerebrovascular risk stratification is possible using a combination of clinical and ultrasonic plaque features with very satisfactory results. However, these findings need to be validated in additional prospective studies in patients having current medical intervention.en
dc.sourceConference proceedings : ...Annual International Conference of the IEEE Engineering in Medicine and Biology Society.IEEE Engineering in Medicine and Biology Society.Conferenceen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84864575595&partnerID=40&md5=123c125b4b3f1bea7d29ace96e46f674
dc.subjectmethodologyen
dc.subjectarticleen
dc.subjectAlgorithmsen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectadulten
dc.subjectageden
dc.subjectfemaleen
dc.subjectalgorithmen
dc.subjectclinical trialen
dc.subjectmulticenter studyen
dc.subjectProspective Studiesen
dc.subjectprospective studyen
dc.subjectmaleen
dc.subjectstatistical analysisen
dc.subjectstatistical modelen
dc.subjectCardiovascular Diseasesen
dc.subjectpathologyen
dc.subjectmiddle ageden
dc.subjectcohort analysisen
dc.subjectcardiovascular diseaseen
dc.subjectvery elderlyen
dc.subjectCohort Studiesen
dc.subjectechographyen
dc.subjectimage processingen
dc.subjectUltrasonographyen
dc.subjectModels, Statisticalen
dc.subjectCarotid Arteriesen
dc.subjectcarotid arteryen
dc.subjectAged, 80 and overen
dc.subjectData Interpretation, Statisticalen
dc.subjectImage Processing, Computer-Assisteden
dc.subjectcarotid artery obstructionen
dc.subjectCarotid Stenosisen
dc.subjectbrain circulationen
dc.subjectCerebrovascular Circulationen
dc.subjectConstriction, Pathologicen
dc.subjectstenosis, occlusion and obstructionen
dc.titleFirst and second order statistical texture features in carotid plaque image analysis: preliminary results from ongoing research.en
dc.typeinfo:eu-repo/semantics/article
dc.description.volume2011
dc.description.startingpage6655
dc.description.endingpage6658
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.source.abbreviationConf Proc IEEE Eng Med Biol Socen
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.contributor.orcidKyriacou, Efthyvoulos C. [0000-0002-4589-519X]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827
dc.gnosis.orcid0000-0002-4589-519X


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