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Компьютерная лабораторная работа "Сравнительный анализ алгоритмов обнаружения пачки Ñ€Ð°Ð´Ð¸Ð¾Ð»Ð¾ÐºÐ°Ñ†Ð¸Ð¾Ð½Ð½Ñ‹Ñ Ð¸Ð¼Ð¿ÑƒÐ»ÑŒÑÐ¾Ð²"

2021
The work is devoted to the development of methodological materials - computer laboratory work - for the study of radar pulse packet detection algorithms. The characteristics of modern radar stations are considered, suitable software for the implementation of the laboratory work is discussed. An example of a report on the laboratory work is performed.
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Методы глубокого обучения для классификации Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±Ñ€Ð°Ð¶ÐµÐ½Ð¸Ð¹

2023
This work is devoted to the study of deep learning methods as applied to the diagnosis of various diseases from medical images. In the course of the work, models based on convolutional neural networks were developed using pre-training on big image data (transfer learning), as well as a comparative analysis of their effectiveness on test data.
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Открытие областей интереса Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ Ñ помощью деформируемой плоскости

2020
The given work is devoted to studying existing methods of opening areas of interest for medical data and the development of an appropriate method for two-pass volumetric rendering. The research have set the following goals: 1. The study in methods of obtaining medical data and their visualization. 2.
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Система регистрации и отработки Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð¸Ð½Ñ†Ð¸Ð´ÐµÐ½Ñ‚Ð¾Ð²

2020
The theme of the graduation qualifying work: «The system of registration and handling medical incidents». The purpose of this work is to develop a system of registration and handling medical incidents in order to speed up the process of doctors' response to patients' diseases, maintaining statistics and establishing communication between specialists ...
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Формирование клиентоориентированности Ñ‡Ð°ÑÑ‚Ð½Ñ‹Ñ Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð¾Ñ€Ð³Ð°Ð½Ð¸Ð·Ð°Ñ†Ð¸Ð¹

2023
The subject of the graduate qualification work is «Formation of customer orientation of private medical organizations». The given work is devoted to the development of methods for a comprehensive assessment of customer orientation in interaction with consumers of medical services, including the manifestation of emotional intelligence.
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Разработка прототипа приложения для тестирования студентов Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð’Ð£Ð—Ð¾Ð²

2021
Данная работа посвящена разработке приложения-тренажёра с использованием технологии VR для студентов медицинских вузов. Работа выполнялась в соответствии с техническим заданием аттестацР...
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Нейросетевой анализ Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ

2018
В данной диссертационной работе описано создание трех модель машинного обучения, включающие в себя две модели нейронных сетей и RandomForest. Эти модели были настроены на работу с медицинскими данны
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Совместная разработка Ð¿Ñ€Ð¾ÐµÐºÑ‚Ð½Ñ‹Ñ Ñ€ÐµÑˆÐµÐ½Ð¸Ð¹ в Ð¸Ð½Ñ„Ð¾Ñ€Ð¼Ð°Ñ†Ð¸Ð¾Ð½Ð½Ñ‹Ñ Ð¼Ð¾Ð´ÐµÐ»ÑÑ Ð·Ð´Ð°Ð½Ð¸Ð¹ Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð¾Ñ€Ð³Ð°Ð½Ð¸Ð·Ð°Ñ†Ð¸Ð¹

2022
The subject of the graduate qualification work: " Collaborative development of design solutions in the information model of buildings of health facilities". The work is devoted to the creation of coordination requirements for the design and creation on their basis of principle tools for calculations of volumes with dynamic updating.
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Разработка модуля экспертной медицинской системы, анализ Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ

2020
Тема выпускной квалификационной работы: «Разработка модуля экспертной медицинской системы, анализ медицинских данных». Работа посвящена исследованию наборов результатов медицинских аналиР...
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Построение модели машинного обучения для сегментации Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±Ñ€Ð°Ð¶ÐµÐ½Ð¸Ð¹ в комбинации с Chan-Vese

2023
This work is devoted to the creation of an automatic medical image segmentation tool based on the Chan-Vese algorithm and Unet convolutional neural network. During the study, the following tasks were solved:     1) study and implementation of Unet architecture for solving the segmentation problem,     2) learning the Chan-Vese algorithm to improve ...
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