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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Trojacanec, K. Dimitrovski, I. Loskovska, S. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science and Engineering at the Faculty of Electrical Engineering and Information Technology, University ¿Ss. Cyril and Methodius¿ in Skopje, R. of Macedonia (Loskovska, S.) || Faculty of Electrical Engineering and Information Technology in Skopje, Macedonia (Dimitrovski, I.) || Department of Computer Science and Engineering at the Faculty of Electrical Engineering and Information Technology in Skopje, Macedonia (Trojacanec, K.) |
| Abstract | Medical 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. |
| Starting Page | 118 |
| Ending Page | 121 |
| File Size | 147854 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424438600 |
| DOI | 10.1109/EURCON.2009.5167614 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | Russia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image retrieval Content based retrieval Medical services Biomedical equipment Biomedical imaging Medical diagnostic imaging DICOM Image databases Picture archiving and communication systems Information retrieval medical images Content Based Image Retrieval (CBIR) Digital Imaging and Communications in Medicine (DICOM) archiving and communication systems (PACS) |
| Content Type | Text |
| Resource Type | Article |
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