Multi-Query Content Based Medical Image Retrieval

Stojanova, E. and Trojacanec, Katarina and Dimitrovski, Ivica and Loshkovska, Suzana (2013) Multi-Query Content Based Medical Image Retrieval. In: Proceedings of the Tenth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 89-93. ISBN 978-608-4699-01-9

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Abstract

This paper focuses on applying multi-query single-group methods to improve the content based image retrieval performance. The Multi-query-Max and Multi-query-Avg methods were applied using different numbers of query examples, namely three, five, and ten. The dataset contained medical images. The results obtained from the multi-query methods are compared to the single-query approach. The multi-query outperformed the single-query approach in all cases, meaning three, five, and ten queries based retrieval. Additionally, the Multi-query-Max method gives the best results on the bases of MAP (Mean Average Precision) value, when for the feature extraction purposes the Edge Histogram Descriptor (EHD) is used.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11092

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