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Year: 2013

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Type: Proceeding article

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Title: Multi-query Content Based Medical Image Retrieval

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Author: Trojachanec, Katarina
Author: Stojanova, Elena
Author: Loshkovska, Suzana
Author: Dimitrovski, Ivica

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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.

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Publisher: Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia

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Relation: CIIT 2013

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Identifier: oai:repository.ukim.mk:20.500.12188/19021
Identifier: http://hdl.handle.net/20.500.12188/19021

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