dc.contributor.author | Ioakim, Gianna | en |
dc.contributor.author | Kyriacou, Efthyvoulos C. | en |
dc.contributor.author | Sofokleous, Anastasis A. | en |
dc.contributor.author | Chistodoulou, C. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.creator | Ioakim, Gianna | en |
dc.creator | Kyriacou, Efthyvoulos C. | en |
dc.creator | Sofokleous, Anastasis A. | en |
dc.creator | Chistodoulou, C. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.date.accessioned | 2019-11-13T10:40:23Z | |
dc.date.available | 2019-11-13T10:40:23Z | |
dc.date.issued | 2012 | |
dc.identifier.isbn | 978-1-4673-4358-9 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54097 | |
dc.description.abstract | This paper proposes an MPEG-7-based ultrasound image retrieval system which can assist in studying and analyzing images from atherosclerotic carotid plaques. The proposed system is able to retrieve and sort ultrasound images of the atherosclerotic carotid plaques using image texture analysis features and the KNN classification algorithm. The prototype system was evaluated on a database of 274 images of symptomatic and asymptomatic plaques and the results show the efficiency and efficacy of the proposed approach. The best percentage success rate of correct retrievals was obtained for the NGTDM, followed by the SGLDM (range) feature sets with the corresponding scorings of 70%, and 68%, respectively. The proposed system can be very useful to physicians who, in order to select the best treatment strategy and therapy for a patient, need to find and analyze related cases. © 2012 IEEE. | en |
dc.source | IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012 | en |
dc.source | 12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872873771&doi=10.1109%2fBIBE.2012.6399730&partnerID=40&md5=3b6bece3c94b577246003cb88530fd61 | |
dc.subject | Ultrasonics | en |
dc.subject | Bioinformatics | en |
dc.subject | Motion Picture Experts Group standards | en |
dc.subject | Carotid plaques | en |
dc.subject | Carotid plaque | en |
dc.subject | Ultrasound images | en |
dc.subject | Patient treatment | en |
dc.subject | Prototype system | en |
dc.subject | Feature sets | en |
dc.subject | Image encoding | en |
dc.subject | Image retrieval | en |
dc.subject | Image retrieval systems | en |
dc.subject | Image texture analysis | en |
dc.subject | K-NN classifications | en |
dc.subject | MPEG-7 image encoding | en |
dc.subject | ultrasound image retrieval | en |
dc.title | An MPEG-7 image retrieval system of atherosclerotic carotid plaque images | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/BIBE.2012.6399730 | |
dc.description.startingpage | 512 | |
dc.description.endingpage | 516 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: IEEE | en |
dc.description.notes | IEEE Computer Society | en |
dc.description.notes | University of Cyprus | en |
dc.description.notes | Biological and AI Foundation (BAIF) | en |
dc.description.notes | Frederick University | en |
dc.description.notes | Conference code: 95206 | en |
dc.description.notes | Cited By :1</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.contributor.orcid | Kyriacou, Efthyvoulos C. [0000-0002-4589-519X] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |
dc.gnosis.orcid | 0000-0002-4589-519X | |