Zobrazeno 1 - 10 of 18 pro vyhledávání: '"A. A. Mashevsky"'
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Akademický článek
Enhancing flotation beneficiation efficiency of complex ores using ionometry methods
Autor: Tatyana A. Yakovleva, Artyem O. Romashev, Gennady N. Mashevsky
Publikováno v: Горные науки и технологии, Vol 9, Iss 2, Pp 146-157 (2024)
Flotation beneficiation plays a leading role in the processing most ores. The efficiency of this process is ensured by the correct selection of operating modes, which involves choosing the most selective reagents and determining their optimal consump
Externí odkaz: https://doaj.org/article/cfc64b8a7b5142c6b726de6ccc8bb7b0
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3
Diagnosis of Invasive Vesical Cancer by Laboratory Data Using Statistical Decision Rules
Autor: L. A. Derzhavets, V. I. Prokhorova, A. A. Mashevsky, O. G. Sukonko, T. P. Tsyrus, S. V. Lappo, S. V. Frantova
Publikováno v: Onkourologiâ, Vol 2, Iss 1, Pp 26-29 (2020)
Based on studies of a wide spectrum of physicochemical parameters of the blood in 160 patients with vesical cancer, the authors created complexes of informative tests and formulated the decision rules fit for evaluating the degree of tumor invasion b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doajarticles::29093d9961457831640f15fe28ee4996
https://oncourology.abvpress.ru/oncur/article/view/1241
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6
Using Deep Learning Techniques for Endoscopic Image Analysis
Autor: Natalia M. Sheliakina, Gleb A. Mashevsky
Publikováno v: 2021 XXIV International Conference on Soft Computing and Measurements (SCM).
The method for the diagnosis of inflammatory bowel disease by classifying endoscopic images using deep learning techniques was developed. The developed model based on convolutional neural network was trained, evaluated and tested on a dataset of endo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b70d2b28c02ed3e6a0c4b3c41bbdf6a9
https://doi.org/10.1109/scm52931.2021.9507136
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7
A topological classification method of the portal vein system affluent branches
Autor: A. L. Ovsepyan, Y. V. Timakova, A. A. Smirnov, P. A. Sizov, G. A. Mashevsky, V. V. Petrova, E. M. Trunin, A. I. Nazmiev, R. E. Topuzov
Publikováno v: XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019).
The authors propose a new type of classification of various anatomical variants of venous return from the colon based on the application of the principles of topology and combinatorics. The article presents data obtained from the topographic and anat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95802a1c1d96005be52b63f71d63196a
https://doi.org/10.1063/1.5121998
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8
The application of mathematical modeling to diagnose diseases of the digestive system
Autor: G. A. Mashevsky, N. M. Sheliakina, I. A. Rasmagina, M. I. Skalinskaya
Publikováno v: XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019).
This paper presents the results of applying the neural network approach in the diagnosis of inflammatory bowel diseases. The trained neural network can be used as auxiliary tool in the differential diagnosis of ulcerative colitis and Crohn’s diseas
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d4c6c191eba821af5097f0d21daf24a
https://doi.org/10.1063/1.5121994
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10
Conference
The Application of Mathematical Modeling to Diagnose Diseases of the Digestive System.
Autor: Sheliakina, N. M., Mashevsky, G. A., Skalinskaya, M. I., Rasmagina, I. A.
Publikováno v: AIP Conference Proceedings; 2019, Vol. 2140 Issue 1, p020069-1-020069-4, 4p
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