Zobrazeno 1 - 6
of 6
pro vyhledávání: '"A. T. Tleubaev"'
Autor:
Yu. N. Yusef, M. H. Durzhinskaya, V. G. Pavlov, D. V. Petrachkov, I. B. Gurevich, V. V. Yashina, A. T. Tleubaev, V. V. Fadeyev, I. V. Poluboyarinova, A. E. Goldsmid, R. А. Karamullina, D. V. Lipatov, M. V. Budzinskaya
Publikováno v:
Сахарный диабет, Vol 27, Iss 1, Pp 41-49 (2024)
BACKGROUND: The paper is dedicated to the assessment of the retinal microvasculature in patients with type 1 diabetes mellitus (DM) with various features of the clinical course and different stages of diabetic retinopathy (DR). Automatic analysis of
Externí odkaz:
https://doaj.org/article/577045084835466ca6728e14f6c38254
Publikováno v:
Pattern Recognition and Image Analysis. 32:533-544
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b0ad8e82985feee0a16268eb919d13
https://doi.org/10.1134/s1054661822030154
https://doi.org/10.1134/s1054661822030154
Autor:
D. V. Petrachkov, V.G. Pavlov, M. V. Budzinskaya, A. T. Tleubaev, V. V. Yashina, Igor B. Gurevich, Alexander Nedzved
Publikováno v:
Pattern Recognition and Image Analysis. 31:513-528
This article presents the results of the joint work of image analysis specialists and ophthalmologists on the problem of analyzing images obtained by optical coherence tomography (angiography). A descriptive algorithmic scheme for analyzing images ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a41a70a6a0336a256227f7812c0be1d
https://doi.org/10.1134/s1054661821030111
https://doi.org/10.1134/s1054661821030111
Autor:
Igor B. Gurevich, A. A. Fedorov, Sergey Ablameyko, V. V. Yashina, N. A. Fedoruk, A. M. Ospanov, Alexander Nedzved, A. T. Tleubaev
Publikováno v:
Pattern Recognition and Image Analysis. 28:612-636
The paper summarizes the joint work of specialists in the fields of image analysis and ophthalmology over the last few years. As a result of this work, new mathematical methods for automating image analysis that have important diagnostic value for op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fde997e30067bf736cfa7d266fb5d831
https://doi.org/10.1134/s1054661818040120
https://doi.org/10.1134/s1054661818040120
Publikováno v:
Pattern Recognition and Image Analysis. 27:550-559
A new mathematical method is presented for processing and analyzing microscopic images of the epithelium posterius (endothelium) in the human eye cornea. As initial data, we use images of endothelial cells that are obtained noninvasively using a conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30dd969754cda3aa34cfc86e4f2ab5e6
https://doi.org/10.1134/s1054661817030130
https://doi.org/10.1134/s1054661817030130
Autor:
Alexander Nedzved, A. M. Ospanov, N. A. Fedoruk, Sergey Ablameyko, Igor B. Gurevich, A. T. Tleubaev, V. V. Yashina
Publikováno v:
Vestnik oftal'mologii. 137:49
Specific software for digital image analysis is essential for adequate analysis and objectification of ophthalmic images, assessment of the prevalence of the pathological process, as well as for planning the amount of necessary medical intervention i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a853f4a3d0818ff575982f2c7ce3889
https://doi.org/10.17116/oftalma202113703149
https://doi.org/10.17116/oftalma202113703149