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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorPantzaris, Marios C.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.creatorLoizou, Christos P.en
dc.creatorPattichis, Constantinos S.en
dc.creatorPantzaris, Marios C.en
dc.creatorNicolaïdes, Andrew N.en
dc.date.accessioned2019-11-13T10:41:05Z
dc.date.available2019-11-13T10:41:05Z
dc.date.issued2007
dc.identifier.issn1089-7771
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54444
dc.description.abstractIn this paper, we propose and evaluate an integrated system for the segmentation of atherosclerotic plaque in ultrasound imaging of the carotid artery based on normalization, speckle reduction filtering, and four different snakes segmentation methods. These methods are the Williams and Shah, Balloon, Lai and Chin, and the gradient vector flow (GVF) snake. The performance of the four different plaque snakes segmentation methods was tested on 80 longitudinal ultrasound images of the carotid artery using receiver operating characteristic (ROC) analysis and the manual delineations of an expert. All four methods were very satisfactory and similar in all measures evaluated, with no significant differences between themen
dc.description.abstracthowever, the Lai and Chin snakes segmentation method gave slightly better results. Concluding, it is proposed that the integrated system investigated in this study could be used successfully for the automated segmentation of the carotid plaque. © 2007 IEEE.en
dc.sourceIEEE Transactions on Information Technology in Biomedicineen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-36349029691&doi=10.1109%2fTITB.2006.890019&partnerID=40&md5=f566170b540aedd65ced064e7786f486
dc.subjectmethodologyen
dc.subjectarticleen
dc.subjectAlgorithmsen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectadulten
dc.subjectageden
dc.subjectfemaleen
dc.subjectalgorithmen
dc.subjectAtherosclerosisen
dc.subjectmaleen
dc.subjectReproducibility of Resultsen
dc.subjectDiagnosisen
dc.subjectmiddle ageden
dc.subjectevaluationen
dc.subjectsensitivity and specificityen
dc.subjectechographyen
dc.subjectreproducibilityen
dc.subjectartificial intelligenceen
dc.subjectautomated pattern recognitionen
dc.subjectPattern Recognition, Automateden
dc.subjectUltrasonic imagingen
dc.subjectUltrasound imagingen
dc.subjectAged, 80 and overen
dc.subjectsystem analysisen
dc.subjectcarotid artery diseaseen
dc.subjectCarotid Artery Diseasesen
dc.subjectCarotid arteryen
dc.subjectImage segmentationen
dc.subjectCarotid plaqueen
dc.subjectcomputer assisted diagnosisen
dc.subjectimage enhancementen
dc.subjectImage Interpretation, Computer-Assisteden
dc.subjectCardiovascular systemen
dc.subjectAtherosclerotic plaqueen
dc.subjectSystems Integrationen
dc.subjectSnakesen
dc.subjectDoppler echocardiographyen
dc.subjectEchocardiography, Doppleren
dc.subjectGradient vector flowen
dc.subjectReceiver operating characteristicen
dc.subjectSnakes segmentation methodsen
dc.titleAn integrated system for the segmentation of atherosclerotic carotid plaqueen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/TITB.2006.890019
dc.description.volume11
dc.description.issue6
dc.description.startingpage661
dc.description.endingpage667
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 :62</p>en
dc.source.abbreviationIEEE Trans.Inf.Technol.Biomed.en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidLoizou, Christos P. [0000-0003-1247-8573]
dc.contributor.orcidPantzaris, Marios C. [0000-0003-2937-384X]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0003-1247-8573
dc.gnosis.orcid0000-0003-2937-384X


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