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Ultrasound imaging in the analysis of carotid plaque morphology for the assessment of stroke

dc.contributor.authorKyriacou, Efthyvoulos C.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorChristodoulou, Christodoulos I.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorKakkos, Stavros K.en
dc.contributor.authorGriffin, Maura B.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.creatorKyriacou, Efthyvoulos C.en
dc.creatorPattichis, Marios S.en
dc.creatorChristodoulou, Christodoulos I.en
dc.creatorPattichis, Constantinos S.en
dc.creatorKakkos, Stavros K.en
dc.creatorGriffin, Maura B.en
dc.creatorNicolaïdes, Andrew N.en
dc.date.accessioned2019-11-13T10:40:52Z
dc.date.available2019-11-13T10:40:52Z
dc.date.issued2005
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54338
dc.description.abstractThe aim of this chapter is to summarise the recent advances in ultrasonic plaque characterisation and to evaluate the efficacy of computer aided diagnosis based on neural and statistical classifiers using as input texture and morphological features. Several classifiers like the K-Nearest Neighbour (KNN) the Probabilistic Neural Network (PNN) and the Support Vecton Machine (SVM) are evaluated resulting to a diagnostic accuracy up to 71.2%. © 2005 The authors. All rights reserved.en
dc.sourceStudies in health technology and informaticsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-34047169396&partnerID=40&md5=f30e27e69b335349dd7c4551fcfe979e
dc.subjectAlgorithmsen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectalgorithmen
dc.subjectultrasounden
dc.subjectdiagnostic imagingen
dc.subjectcerebrovascular accidenten
dc.subjectStrokeen
dc.subjectartificial neural networken
dc.subjectNeural Networks (Computer)en
dc.subjectUltrasonicsen
dc.subjectcomputer assisted diagnosisen
dc.subjecttexture analysisen
dc.subjectDiagnosis, Computer-Assisteden
dc.subjectassessment of strokeen
dc.subjectmorphology analysisen
dc.subjectUltrasound plaque imageen
dc.titleUltrasound imaging in the analysis of carotid plaque morphology for the assessment of strokeen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume113
dc.description.startingpage241
dc.description.endingpage275
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.description.notes<p>Cited By :37</p>en
dc.source.abbreviationStud.Health Technol.Informaticsen
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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