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Evolution of Mueller Matrix Images of the Myometrium for the Optical Anisotropy Oncological Changes

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dc.contributor.author USHENKO, V.O.
dc.contributor.author KOVAL, G.D.
dc.contributor.author DUBOLAZOV, A.V.
dc.contributor.author KARACHEVTSEV, A. O.
dc.contributor.author OLAR, O. I.
dc.contributor.author BOYCHUK, T. M.
dc.date.accessioned 2019-10-28T10:34:15Z
dc.date.available 2019-10-28T10:34:15Z
dc.date.issued 2013
dc.identifier.citation USHENKO, V.O., KOVAL, G.D., DUBOLAZOV, A.V. Evolution of Mueller Matrix Images of the Myometrium for the Optical Anisotropy Oncological Changes. In: ICNBME-2013. International Conference on Nanotechnologies and Biomedical Engineering. German-Moldovan Workshop on Novel Nanomaterials for Electronic, Photonic and Biomedical Applications: proc. of the 2th intern. conf., April 18-20, 2013. Chişinău, 2013, pp. 632-635. ISBN 978-9975-62-343-8. en_US
dc.identifier.isbn 978-9975-62-343-8
dc.identifier.uri http://repository.utm.md/handle/5014/5466
dc.description.abstract The optical model of polycrystalline networks of myometium is suggested. The results of investigating the interrelation between the values correlation (correlation area, asymmetry coefficient and autocorrelation function excess) and fractal (dispersion of logarithmic dependencies of power spectra) parameters are presented. They characterize the distributions of Mueller matrix elements in the points of laser images of myometrium histological sections. The criteria of differentiation of death coming reasons are determined. 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 biological tissue en_US
dc.subject correlation function en_US
dc.subject correlation area en_US
dc.subject correlation moments en_US
dc.subject Mueller matrix en_US
dc.subject power spectra en_US
dc.title Evolution of Mueller Matrix Images of the Myometrium for the Optical Anisotropy Oncological Changes en_US
dc.type Article en_US


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