title: Ð¡Ð¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð»ÑÐ³ÐºÐ¸Ñ Ð¾Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸Ð¸ Ð¸ ÐºÐ¾Ð²Ð¸Ð´-19
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Creation of a neural network for recognition of lung lesions from pneumonia and COVID-19
Creators: name: ÐÐ¾ÑÑÐ¸Ð³Ð¸Ð½, ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÑÐµÑ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ¹ ÑÐ°Ð·Ð½Ð¾Ð¹ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÑ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸Ð¸ Ð¸ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð¾Ð´Ð½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸Ð¸ Ð¸ ÐºÐ¾Ð²Ð¸Ð´Ð°. ÐÑÐµÐ´Ð¼ÐµÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â ÑÐµÐ½ÑÐ³ÐµÐ½Ð¾Ð²ÑÐºÐ¸Ðµ ÑÐ½Ð¸Ð¼ÐºÐ¸ Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸ÐµÐ¹, Ð²ÑÐ·Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐ¼Ð¸ ÑÐ°ÐºÑÐ¾ÑÐ°Ð¼Ð¸. ÐÐµÑÐ¾Ð´: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â ÑÐ¾Ð·Ð´Ð°ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸Ð¸ Ð¸ covid-19, Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ. ÐÐ°Ð´Ð°ÑÐ¸: 1. ÐÑÐ¾Ð²ÐµÑÑÐ¸ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¾Ð±Ð·Ð¾Ñ Ð»Ð¸ÑÐµÑÐ°ÑÑÑÑ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÐ¸. 2. ÐÐ°Ð¹ÑÐ¸ Ð¸ ÑÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð½Ð°Ð±Ð¾ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. 3. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸Ð¸ Ð¸ covid-19. 4. ÐÑÐµÐ´Ð»Ð¾Ð¶Ð¸ÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð² Ð¼ÐµÐ´ÑÑÑÐµÐ¶Ð´ÐµÐ½Ð¸ÑÑ. ÐÑÐ²Ð¾Ð´Ñ: 1. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð»Ð¸ÑÐµÑÐ°ÑÑÑÑ Ð¸ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð² Ð¿Ð¾ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐµÐ¼Ðµ. 2. ÐÐ»Ñ Ð¾ÑÑÑÐµÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ Ð² ÑÐ¾Ð´Ðµ Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð½Ð°Ð¹Ð´ÐµÐ½Ñ Ð´Ð²Ð° Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ ÑÐµÐ½ÑÐ³ÐµÐ½Ð¾Ð²ÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð² Ð±Ð¾Ð»ÑÐ½ÑÑ Ð¸ Ð·Ð´Ð¾ÑÐ¾Ð²ÑÑ Ð»ÑÐ´ÐµÐ¹. 3. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ñ ÑÐµÑÑÑÐµ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐ¸, Ð¿Ð¾ Ð¿ÐµÑÐ²Ð¾Ð¼Ñ Ð½Ð°Ð±Ð¾ÑÑ Ð´Ð°Ð½Ð½ÑÑ ÑÑÐ¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸Ð¸, Ð¿Ð¾ Ð²ÑÐ¾ÑÐ¾Ð¼Ñ Ð½Ð°Ð±Ð¾ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð¾Ð´Ð½Ð° Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð½Ð¸Ð¸ Ð¸ ÐºÐ¾Ð²Ð¸Ð´Ð°. 4. ÐÑÐ¾Ð²ÐµÑÐµÐ½Ð° Ð¸Ñ ÑÐ°Ð±Ð¾ÑÐ¾ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾ÑÑÑ Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÐµ Ð²Ð°ÑÐ¸Ð°Ð½ÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ.
description: This work is devoted to the creation of three neural networks of different architectures for the recognition of pneumonia and the creation of one neural network for the recognition of pneumonia and covid. The subject of the study is Xârays with pneumonia caused by various factors.Method: computer simulation. The aim of the work is to create neural networks for the recognition of pneumonia and covidâ19, to analyze the results obtained. Tasks: 1. To conduct an analytical review of the literature in this field. 2. Find and generate datasets for training neural networks. 3. To develop neural networks for the recognition of pneumonia and covid-19. 4. To propose the implementation of these neural networks in medical institutions. Summary: 1. The analysis of literature and modern sources on this topic is carried out. 2. To carry out these tasks in the course of this research work, two data sets of X-ray images of sick and ill people were found. 3. Four neural networks have been developed, three for the recognition of pneumonia according to the first data set, one for the recognition of pneumonia and covid according to the second data set. 4. Their operability has been checked and possible applications have been considered.