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Decision support system with the use of "histological analysis of thyroid tumors" knowledge base

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dc.contributor.authorMozerov, S. A.
dc.contributor.authorDruzhinina, E. A.
dc.contributor.authorNikitaev, V. G.
dc.contributor.authorPronichev, A. N.
dc.contributor.authorНикитаев, Валентин Григорьевич
dc.contributor.authorПроничев, Александр Николаевич
dc.date.accessioned2024-11-20T10:36:15Z
dc.date.available2024-11-20T10:36:15Z
dc.date.issued2019
dc.description.abstract© 2019 IEEE The method of light microscopy is widely used in cancer diagnosis. The result of visual analysis is subjective, depending in particular on the experience of the morphologist. Preparation of a qualified specialist takes up to 10 years. The use of artificial intelligence methods in medical diagnostics (knowledge bases, expert systems, pattern recognition, in this case Decision Support System with the use of "HISTOLOGICAL ANALYSIS OF THYROID TUMORS" knowledge base), helps to improve the objectivity and accuracy of diagnosis. The paper discusses the creation and application of decision-making support systems for cancer diagnosis, based on the analysis of microscopic images. The relevance of the research is connected with the problems of improving the quality of oncodiagnostics in clinical, scientific and educational activities of the morphologist.
dc.format.extentС. 1276-1278
dc.identifier.citationDecision support system with the use of "histological analysis of thyroid tumors" knowledge base / Mozerov, S.A. [et al.] // Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. - 2019. - P. 1276-1278. - 10.1109/EIConRus.2019.8657004
dc.identifier.doi10.1109/EIConRus.2019.8657004
dc.identifier.urihttps://www.doi.org/10.1109/EIConRus.2019.8657004
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85063465445&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000469452600304
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/16759
dc.relation.ispartofProceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019
dc.titleDecision support system with the use of "histological analysis of thyroid tumors" knowledge base
dc.typeConference Paper
dspace.entity.typePublication
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