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dc.contributor.authorKyriacou, Efthyvoulos C.en
dc.contributor.authorChristodoulou, Christodoulos I.en
dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorKakkos, Stavros K.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.creatorKyriacou, Efthyvoulos C.en
dc.creatorChristodoulou, Christodoulos I.en
dc.creatorLoizou, Christos P.en
dc.creatorPattichis, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.creatorKakkos, Stavros K.en
dc.creatorNicolaïdes, Andrew N.en
dc.date.accessioned2019-11-13T10:40:49Z
dc.date.available2019-11-13T10:40:49Z
dc.date.issued2009
dc.identifier.isbn978-1-60566-314-2
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54318
dc.description.abstractStroke is the third leading cause of death in the Western world and a major cause of disability in adults. The objective of this work was to investigate morphological feature extraction techniques and the use of automatic classifiersen
dc.description.abstractin order to develop a computer aided system that will facilitate the automated characterization of carotid plaques for the identification of individuals with asymptomatic carotid stenosis at risk of stroke. Through this chapter we summarize the recent advances in ultrasonic plaque characterization and evaluate the efficacy of computer aided diagnosis based on neural and statistical classifiers using as input morphological features. Several classifiers like the K-Nearest Neighbour(KNN) the Probabilistic Neural Network(PNN) and the Support Vector Machine(SVM) were evaluated resulting to a diagnostic accuracy up to 73.7%. © 2009, IGI Global.en
dc.publisherIGI Globalen
dc.sourceHandbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applicationsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84898184710&doi=10.4018%2f978-1-60566-314-2.ch011&partnerID=40&md5=5a21034d59c584025ff5ae73082af140
dc.titleAssessment of stroke by analysing carotid plaque morphologyen
dc.typeinfo:eu-repo/semantics/bookChapter
dc.description.startingpage160
dc.description.endingpage180
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeBook Chapteren
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.contributor.orcidLoizou, Christos P. [0000-0003-1247-8573]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827
dc.gnosis.orcid0000-0002-4589-519X
dc.gnosis.orcid0000-0003-1247-8573


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