Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/19013
DC FieldValueLanguage
dc.contributor.authorTrojachanec, Katarinaen_US
dc.contributor.authorDimitrovski, Ivicaen_US
dc.contributor.authorLoshkovska, Suzanaen_US
dc.date.accessioned2022-06-17T12:28:21Z-
dc.date.available2022-06-17T12:28:21Z-
dc.date.issued2009-05-18-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/19013-
dc.description.abstractMedical imaging is specific part of medicine according to the medical images features. This is the reason for growing up requirements for improvement of Content Based Image Retrieval (CBIR) systems applied on medical images. Improving these systems is one of the biggest challenges for scientists in this domain. In this paper we propose an extension and improvement of the existing two-level CBIR architecture proposed in [1]. The proposed improvement of the two-level architecture is expected to increase the accuracy of the retrieval results.en_US
dc.publisherIEEEen_US
dc.subjectContent Based Image Retrieval (CBIR), Digital Imaging and Communications in Medicine (DICOM), archiving and communication systems (PACS), medical imagesen_US
dc.titleContent based image retrieval in medical applications: an improvement of the two-level architectureen_US
dc.typeProceeding articleen_US
dc.relation.conferenceIEEE EUROCON 2009en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
Files in This Item:
File Description SizeFormat 
EUROCON-2009.KT.ID.SL.pdf194.3 kBAdobe PDFView/Open
Show simple item record

Page view(s)

31
checked on May 2, 2024

Download(s)

6
checked on May 2, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.