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Information system for archival medical images automated processing

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dc.contributor.author SULEMA, Y. S.
dc.contributor.author SHKURAT, O. S.
dc.date.accessioned 2019-10-23T12:10:15Z
dc.date.available 2019-10-23T12:10:15Z
dc.date.issued 2016
dc.identifier.citation SULEMA, Y. S., SHKURAT, O. S. Information system for archival medical images automated processing. In: Health Technology Management. Book of abstracts: proc. of the 3rd intern. conf., October 6-17, 2016. Chişinău, 2016, p. 72. ISBN 978-9975-51-774-4 en_US
dc.identifier.isbn 978-9975-51-774-4
dc.identifier.uri http://repository.utm.md/handle/5014/5117
dc.description Abstract en_US
dc.description.abstract Medical imaging has a quite long history [1]. Since 1895, when the first X-ray picture had been taken, billions of medical images were taken around the world. Some of these images are still of interest for researchers as they illustrate specific medical cases. Some other images, which having been taken mostly during last decades, are important with respect to health of a certain patient. The important issue is that many of these images are not digitized, because they have been taken with using old-fashioned hardware. Thus, there are a number of non-digitized medical images archives, which are either stored in medical centres or kept by patients on their own and which require automated processing in order to be analysed, classified and used for research purposes and / or medical diagnostics and treatment of a certain patient. Therefore, the development of information technology for automated processing of archival medical images as well as the design of the information system based in this new information technology are the topical tasks. 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 imaging en_US
dc.subject information technology en_US
dc.title Information system for archival medical images automated processing en_US
dc.type Article en_US


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