Zobrazeno 1 - 10
of 866
pro vyhledávání: '"V. A. Kovalev"'
Publikováno v:
Informatika, Vol 20, Iss 2, Pp 28-38 (2023)
Objectives. Morphological analysis of papillary thyroid cancer is a cornerstone for further treatment planning. Traditional and neural network methods of extracting parts of images are used to automate the analysis. It is necessary to prepare a set o
Externí odkaz:
https://doaj.org/article/bfac95fe845d43d9a7f0db9b6029a3d2
Publikováno v:
Вестник Научно-исследовательского института железнодорожного транспорта, Vol 81, Iss 3, Pp 248-257 (2022)
Introduction. The purpose of the study is to develop measures determined by the strategic programmes for the development of Russian railway transport based on the analysis of power supply schemes for the traction network of the Far Eastern Railway, a
Externí odkaz:
https://doaj.org/article/df7969e0384b4ad28cadee40921785af
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 20, Iss 5, Pp 48-56 (2022)
The traditional image descriptor definition algorithms are considered, such as SIFT, ORB, LBP, GLSM. With the help of them, the searching task for a similar anatomical area on the CT images of the lungs is solved. The article proposes a methodology f
Externí odkaz:
https://doaj.org/article/12e346a4dfa646ceab0d6180da02e2e2
Publikováno v:
Сибирский лесной журнал, Vol 8, Iss 4, Pp 48-55 (2021)
The reproduction of cedar-deciduous forests of the Far East, due to their intensive transformation by logging and fires, is becoming a necessary condition for the preservation of not only valuable tree species, food and medicinal plants, but also a u
Externí odkaz:
https://doaj.org/article/f816c8dba5274e1daf253e96bab4986d
Publikováno v:
Informatika, Vol 17, Iss 4, Pp 48-60 (2021)
This paper presents the results of an experimental study and the development of tools for automatic analysis and recognition of histological images in order to obtain quantitative estimates of the presence and degree of aggressiveness of prostate can
Externí odkaz:
https://doaj.org/article/07d2b5431ecb46fa93f8cbda6681ea59
Autor:
S. N. Rjabceva, V. A. Kovalev, V. D. Malyshev, I. A. Siamionik, M. A. Derevyanko, R. A. Moskalenko, A. S. Dovbysh, T. R. Savchenko, A. N. Romaniuk
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 18, Iss 8, Pp 21-28 (2020)
Analysis of breast cancer whole-slide image is an extremely labor-intensive process. Histological whole slide images have the following features: a high degree of tissue diversity both in one image and between different images, hierarchy, a large amo
Externí odkaz:
https://doaj.org/article/15184b96bad7426590251bc0f4eebb3b
Publikováno v:
Informatika, Vol 17, Iss 3, Pp 36-43 (2020)
The results of the development of hardware and software system (micromodule), which detects and classifies underlying surface images of the Earth are presented. The micromodule can be installed on board of a light unmanned aerial vehicle (drone). The
Externí odkaz:
https://doaj.org/article/bfc971b3008343f594399f17103e08f9
Publikováno v:
Омский научный вестник: Серия "Общество. История. Современность", Vol 5, Iss 1, Pp 112-119 (2020)
This work is devoted to the study of the issue related to the deepening and expansion of integration processes within the framework of the Eurasian Economic Union for sustainable development, constant technological renewal, increasing the competit
Externí odkaz:
https://doaj.org/article/4144ab60f4e3488e9218a7c066072612
Autor:
D. M. Voynov, V. A. Kovalev
Publikováno v:
Informatika, Vol 16, Iss 3, Pp 14-22 (2019)
This paper addresses the problem of dependence of the success rate of adversarial attacks to the deep neural networks on the biomedical image type and control parameters of generation of adversarial examples. With this work we are going to contribute
Externí odkaz:
https://doaj.org/article/95f7efc0fd6c46b58a72e84bb3deb8a1
Publikováno v:
Informatika, Vol 16, Iss 2, Pp 18-26 (2019)
The paper addresses the problem of segmentation of malignant tumors in large whole-slide histology images in the context of computer-assisted diagnosis of breast cancer. The method presented in this study is based on image classification procedure of
Externí odkaz:
https://doaj.org/article/385b565477ec4192978f825dc6e6b52e