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Methods for automatic processing and analysis of orthotropic biological structures by microscopy and computed tomography

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dc.contributor.author Akhmetovna S.
dc.contributor.author Valer’Yevna B.
dc.contributor.author Gennad’Yevich K.
dc.contributor.author Aleksandrovich S.
dc.date.accessioned 2018-09-19T22:52:10Z
dc.date.available 2018-09-19T22:52:10Z
dc.date.issued 2016
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/145663
dc.description.abstract © 2016,International Journal of Pharmacy and Technology. All rights reserved.Image acquisition and analysis is a key moment in the biological research and diagnostics. In practice,the evidencebased medicine and biology have to deal with large arrays of image data. Automating these data processing is a relevant task. This paper presents a software package that performs automated processing of biological objects with a pronounced orthotropy. As well as the results of such data processing for two-dimensional setting - analysis of the structure of the skin and muscles,as well as for three-dimensional analysis - processing of bone tissue tomograms. To analyze the properties of orthotropy,we used a mathematical apparatus designed on the basis of anisotropic tensor,the use of which ensures estimation of the averaged direction of the periodic structure in the plane or space,their frequency and the filling density. The versatility and availability of automated mode ensures significant acceleration of data processing and improves the quality of the results.
dc.subject Anisotropic tensor
dc.subject Biomechanics
dc.subject Image analysis
dc.subject Orthotropic biological structures
dc.subject Process automation
dc.title Methods for automatic processing and analysis of orthotropic biological structures by microscopy and computed tomography
dc.type Article
dc.relation.ispartofseries-issue 3
dc.relation.ispartofseries-volume 8
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 14953
dc.source.id SCOPUS-2016-8-3-SID84992323889


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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