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Medical image database management system kernel with image retrieval capabilities

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dc.contributor.author CORNITA, V.
dc.contributor.author STRUNGARU, R.
dc.contributor.author PASCA, S.
dc.date.accessioned 2019-10-23T10:15:34Z
dc.date.available 2019-10-23T10:15:34Z
dc.date.issued 2016
dc.identifier.citation CORNITA, V., STRUNGARU, R., PASCA, S. Medical image database management system kernel with image retrieval capabilities. In: Health Technology Management. Book of abstracts: proc. of the 3rd intern. conf., October 6-17, 2016. Chişinău, 2016, p. 63. ISBN 978-9975-51-774-4 en_US
dc.identifier.isbn 978-9975-51-774-4
dc.identifier.uri http://repository.utm.md/handle/5014/5089
dc.description Abstract en_US
dc.description.abstract This paper presents an image database management system kernel with image retrieval capabilities based on semantic information associated with a specific image, target image and combined search. The Medical Image Database Management System Kernel(MiDBMSK), which is composed of two software applications: the MiDBMSK Server and Client, uses a typical three-layer architecture. For image retrieval by target source image, histogram intersection, histogram Euclidean distance and histogram quadratic distance are investigated. In this context, better search results are obtained when specific image has text semantic information attached and particular search takes into account this semantic information. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject medical database applications en_US
dc.subject three-tired architecture en_US
dc.title Medical image database management system kernel with image retrieval capabilities en_US
dc.type Article en_US


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