title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ ÑÐ¾ÑÑÐ´Ð¾Ð² Ð³Ð»Ð°Ð·Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Application of synthetic data generation methods to improve the quality of learning models of semantic segmentation of eye vessels
Creators: name: ÐÐ¾Ð»Ð¾ÑÑÑÐ¸Ð½, ÐÐ»Ñ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: 2023
Subjects: Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸
Ð³ÑÐ°ÑÑ
Ð´ÐµÑÐµÐ²ÑÑ
ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
generation of synthetic data
neural network
machine learning
training a neural network
graphs
trees
computer vision

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ-Ð°ÑÑÐ¸ÑÑÐµÐ½ÑÐ° Ð´Ð»Ñ Ð²ÑÐ°ÑÐµÐ¹ Ð¾ÑÑÐ°Ð»ÑÐ¼Ð¾Ð»Ð¾Ð³Ð¾Ð². ÐÑÐ½Ð¾Ð²Ð½Ð°Ñ ÑÐµÐ»Ñ Ð¿ÑÐ¾ÐµÐºÑÐ° Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² ÑÑÐºÐ¾ÑÐµÐ½Ð¸Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ° Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ñ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð² Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð³Ð»Ð°Ð·Ð½ÑÑ ÑÐ¾ÑÑÐ´Ð¾Ð² Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸, Ð¾Ð±ÑÑÐµÐ½Ð½Ð¾Ð¹ Ð½Ð° ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ. Ð ÑÐ°Ð¼ÐºÐ°Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ Ð¼ÐµÑÐ¾Ð´Ñ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸ÑÑÑ Ð¾ÑÐµÐ½ÐºÐ° ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¸ÑÐ¾Ð³Ð¾Ð²Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼ ÑÐ°Ð·Ð½ÑÑ ÑÐ²ÐµÑÐ¾Ð²ÑÑ Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ² Ð¸ Ð±ÑÐ»Ð¸ ÑÐ´ÐµÐ»Ð°Ð½Ñ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ðµ Ð²ÑÐ²Ð¾Ð´Ñ. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð±ÑÐ» ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½ Ð¼ÐµÑÐ¾Ð´ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ ÑÐ»ÑÑÐ°Ð¹Ð½Ð¾Ð³Ð¾ Ð³ÑÐ°ÑÐ°, ÑÐ¾Ð·Ð´Ð°Ð½Ð¸ÐµÐ¼ ÑÐ»ÑÑÐ°Ð¹Ð½Ð¾Ð³Ð¾ Ð´ÐµÑÐµÐ²Ð° Ð¸ Ð¿Ð¾ÑÐ»ÐµÐ´ÑÑÑÐ¸Ð¼ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸ÐµÐ¼ Ð¸Ð½ÑÐµÑÐ¿Ð¾Ð»ÑÐ½ÑÐ° Ð½Ð° ÐµÐ³Ð¾ Ð¾ÑÐ½Ð¾Ð²Ðµ. ÐÑÐ»Ð¸ ÑÐµÑÐµÐ½Ñ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ñ ÑÐµÐ·ÐºÐ¸Ð¼Ð¸ Ð¿ÐµÑÐµÐ¿Ð°Ð´Ð°Ð¼Ð¸ ÑÐ²ÐµÑÐ¾Ð² Ð¿ÑÑÑÐ¼ Ð¸Ð½ÑÐµÑÐ¿Ð¾Ð»ÑÑÐ¸Ð¸ ÑÐ²ÐµÑÐ° Ð¼ÐµÐ¶Ð´Ñ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ð¼Ð¸ Ð¿Ð¸ÐºÑÐµÐ»ÑÐ¼Ð¸. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¼ÐµÑÐ¾Ð´ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ Ð¿Ð¾ÐºÐ°Ð·ÑÐ²Ð°ÐµÑ ÐºÐ°ÑÑÐ¸Ð½ÐºÑ, Ð¾ÑÐµÐ½Ñ Ð¿Ð¾ÑÐ¾Ð¶ÑÑ Ð¿Ð¾ ÐºÐ°ÑÐµÑÑÐ²Ñ Ð´ÐµÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð½Ð° ÑÐµÐ°Ð»ÑÐ½ÑÐµ Ð´Ð°Ð½Ð½ÑÐµ. ÐÐ¾ÐºÐ°Ð·Ð°Ð½Ð¾, ÑÑÐ¾ ÐµÑ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ»ÑÑÑÐ°ÐµÑ ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¸ÑÐ¾Ð³Ð¾Ð²Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸.
description: This study is dedicated to investigating the problem of generating synthetic data for training a neural network in the context of developing an assistant program for ophthalmologists. The main objective of the project is to accelerate the process of diagnosing patients conditions based on the analysis of retinal vessels using a neural network trained on synthetic data. The research examines methods of generating synthetic data and evaluates the quality of the final algorithm. The study conducted an analysis of issues related to different color spaces and drew corresponding conclusions. Additionally, a method for generating a random graph through the creation of a random tree and subsequent interpolation was proposed. Problems with sharp color transitions were addressed by interpolating colors between multiple pixels. The developed generation method produces images with a level of detail very similar to real data. It has been demonstrated that its further usage improves the quality of the final model.