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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