dc.contributor.author | USHENKO, Yu.O. | |
dc.contributor.author | DUBOLAZOV, A.V. | |
dc.contributor.author | USHENKO, V.O. | |
dc.contributor.author | GORSKY, M.P. | |
dc.contributor.author | ZHYTARYUK, V.P. | |
dc.date.accessioned | 2019-10-23T09:28:04Z | |
dc.date.available | 2019-10-23T09:28:04Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | USHENKO, Yu.O., DUBOLAZOV, A.V., USHENKO, V.O., GORSKY, M.P., ZHYTARYUK, V.P. Matrix methods in differentiation of fibrillar networks of biological tissues with different phase and amplitude anisotropy. In: Health Technology Management. Book of abstracts: proc. of the 3rd intern. conf., October 6-17, 2016. Chişinău, 2016, p. 52. ISBN 978-9975-51-774-4 | en_US |
dc.identifier.isbn | 978-9975-51-774-4 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/5069 | |
dc.description | Abstract | en_US |
dc.description.abstract | The optical model of polycrystalline networks of myometrium 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 [1]. 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 [2]. | 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 | Mueller matrix elements | en_US |
dc.subject | experimental investigations | en_US |
dc.title | Matrix methods in differentiation of fibrillar networks of biological tissues with different phase and amplitude anisotropy | en_US |
dc.type | Article | en_US |
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