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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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