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Analysis of Convolutional Neural Network for Fundus Image Segmentation

Journal of physics. Conference series, 2020-01, Vol.1438 (1), p.12016

2020

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The study of effectiveness of a high-performance crystal lattice parametric identification algorithm based on CUDA technology

Journal of physics. Conference series, 2019-11, Vol.1368 (5), p.52040

2019

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Development of High-Performance Algorithms for the Segmentation of Fundus Images Using a Graphics Processing Unit

Pattern recognition and image analysis, 2021-07, Vol.31 (3), p.529-538

2021

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Localization of diabetic macular edema areas via graph-based segmentation of OCT retinal images

Journal of physics. Conference series, 2019-11, Vol.1368 (3), p.32014

2019

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Segmentation of Lung Images Using Textural Features

Journal of physics. Conference series, 2020-01, Vol.1438 (1), p.12015

2020

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CUDA parallel programming technology application for analysis of big biomedical data based on computation of effectiveness features

Journal of physics. Conference series, 2019-11, Vol.1368 (5), p.52006

2019

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A modified technique for smart textural feature selection to extract retinal regions of interest using image pre-processing

Journal of physics. Conference series, 2018-09, Vol.1096 (1), p.12095

2018

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Methods of Intellectual Analysis in Medical Diagnostic Tasks Using Smart Feature Selection

Pattern recognition and image analysis, 2018-10, Vol.28 (4), p.637-645

2018

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Information Technology for Decision-making Support for Personalized Parameter Selection in Retinal Laser Treatment and Photocoagulation Outcome Prognostication

Optical memory & neural networks, 2020-10, Vol.29 (4), p.358-367

2020

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Erratum to: Methods of Intellectual Analysis in Medical Diagnostic Tasks Using Smart Feature Selection (Volume 28, Issue 4, page 637)

Pattern recognition and image analysis, 2019, Vol.29 (1), p.200-200

2019

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Extracting a DME area based on graph-based image segmentation and collation of OCT retinal images

Journal of physics. Conference series, 2021-02, Vol.1780 (1), p.12031

2021

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Modeling of Fundus Laser Exposure for Estimating Safe Laser Coagulation Parameters in the Treatment of Diabetic Retinopathy

Mathematics (Basel), 2021-05, Vol.9 (9), p.967

2021

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Development of a vector algorithm of three-dimensional crystal lattice parametric identification based on estimation of the spacing between adjacent lattice planes

Procedia engineering, 2017, Vol.201, p.690-697

2017

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Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment

Electronics (Basel), 2021-06, Vol.10 (12), p.1420

2021

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A smart feature selection technique for object localization in ocular fundus images with the aid of color subspaces

Procedia engineering, 2017, Vol.201, p.736-745

2017

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Convolutional Neural Network Application for Analysis of Fundus Images

Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19), p.60-67

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Development of coagulate map formation algorithms to carry out treatment by laser coagulation

Procedia engineering, 2017, Vol.201, p.271-279

2017

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High-Performance Algorithms Application for Retinal Image Segmentation Based on Texture Features

Pattern Recognition. ICPR International Workshops and Challenges, p.198-210

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Intelligent System for Coagulates Preliminary Plan Analysis for Assessment of the Diabetic Retinopathy Treatment Effectiveness

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2021, p.1825-1828

2021

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IEEE_Xplore

Numerical modeling of the heat conduction equation in a layered region and experimental study of its methodological error

2021 International Conference on Information Technology and Nanotechnology (ITNT), 2021, p.1-7

2021

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Development of Information Technology for Selection of Effective Strategy of Diabetic Retinopathy Treatment

Proceedings of the 2020 12th International Conference on Bioinformatics and Biomedical Technology, 2020, p.94-98

2020

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Fundus Image Segmentation Using Decision Trees

2020 International Conference on Information Technology and Nanotechnology (ITNT), 2020, p.1-6

2020

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Graph-Based Segmentation for Diabetic Macular Edema Selection in OCT Images

2019 5th International Conference on Frontiers of Signal Processing (ICFSP), 2019, p.77-81

2019

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Development of crystal lattice comparison method invariant to bravais unit cell choice

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP), 2017, p.125-129

2017

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IEEE_Xplore

Biomedical Data Analysis Based on Parallel Programming Technology Application for Computation Features' Effectiveness

2019 5th International Conference on Frontiers of Signal Processing (ICFSP), 2019, p.67-71

2019

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Image Processing
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Diabetes
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Engineering, Electrical & Electronic
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Coagulation
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Retina
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Analysis of Convolutional Neural Network for Fundus Image Segmentation

The study of effectiveness of a high-performance crystal lattice parametric identification algorithm based on CUDA technology

Development of High-Performance Algorithms for the Segmentation of Fundus Images Using a Graphics Processing Unit

Localization of diabetic macular edema areas via graph-based segmentation of OCT retinal images

Segmentation of Lung Images Using Textural Features

CUDA parallel programming technology application for analysis of big biomedical data based on computation of effectiveness features

A modified technique for smart textural feature selection to extract retinal regions of interest using image pre-processing

Methods of Intellectual Analysis in Medical Diagnostic Tasks Using Smart Feature Selection

Information Technology for Decision-making Support for Personalized Parameter Selection in Retinal Laser Treatment and Photocoagulation Outcome Prognostication

Erratum to: Methods of Intellectual Analysis in Medical Diagnostic Tasks Using Smart Feature Selection (Volume 28, Issue 4, page 637)

Extracting a DME area based on graph-based image segmentation and collation of OCT retinal images

Modeling of Fundus Laser Exposure for Estimating Safe Laser Coagulation Parameters in the Treatment of Diabetic Retinopathy

Development of a vector algorithm of three-dimensional crystal lattice parametric identification based on estimation of the spacing between adjacent lattice planes

Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment

A smart feature selection technique for object localization in ocular fundus images with the aid of color subspaces

Convolutional Neural Network Application for Analysis of Fundus Images

Development of coagulate map formation algorithms to carry out treatment by laser coagulation

High-Performance Algorithms Application for Retinal Image Segmentation Based on Texture Features

Intelligent System for Coagulates Preliminary Plan Analysis for Assessment of the Diabetic Retinopathy Treatment Effectiveness

Numerical modeling of the heat conduction equation in a layered region and experimental study of its methodological error

Development of Information Technology for Selection of Effective Strategy of Diabetic Retinopathy Treatment

Fundus Image Segmentation Using Decision Trees

Graph-Based Segmentation for Diabetic Macular Edema Selection in OCT Images

Development of crystal lattice comparison method invariant to bravais unit cell choice

Biomedical Data Analysis Based on Parallel Programming Technology Application for Computation Features' Effectiveness

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