title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐ°Ð´Ð¸Ð¾Ð¼Ð¸ÐºÐ¸ Ð´Ð»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐÐ¢ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð¿ÑÐ¸ ÑÐ°ÐºÐµ Ð»ÐµÐ³ÐºÐ¸Ñ
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 radiomics features for CT image processing in lung cancer
Creators: name: ÐÐ°ÑÑÑÑÐ¾Ð², ÐÐ¼Ð¸ÑÑÐ¸Ð¹
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: ÑÐ°Ð´Ð¸Ð¾Ð¼Ð¸ÐºÐ°
Ð±Ð°Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ ÐÐ¢ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð¿ÑÐµÐ´Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐÐ¢ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð»ÑÐ³ÐºÐ¸Ñ
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ ÑÐ·ÐµÐ»ÐºÐ¾Ð²
Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð²
ÑÐ°Ðº Ð»ÑÐ³ÐºÐ¸Ñ
radiomics
CT image database
CT image preprocessing
lung segmentation
extraction of features from CT images
lung cancer

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐ°Ð´Ð¸Ð¾Ð¼Ð¸ÐºÐ¸ Ð´Ð»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ ÐÐ¢ Ð¿ÑÐ¸ ÑÐ°ÐºÐµ Ð»ÑÐ³ÐºÐ¸ÑÂ». ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°Ð´Ð¸Ð¾Ð¼Ð¸ÐºÐ°, Ð¼ÐµÑÐ¾Ð´, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð¸Ð·Ð²Ð»ÐµÐºÐ°ÐµÑ Ð±Ð¾Ð»ÑÑÐ¾Ðµ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð¸Ð· Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð´Ð°Ð½Ð½ÑÑ. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿Ð¾ÑÐ»ÐµÐ´Ð½Ð¸Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ ÑÐ°Ð´Ð¸Ð¾Ð¼Ð¸ÐºÐ¸ Ð´Ð»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ ÐÐ¢ Ð¿ÑÐ¸ ÑÐ°ÐºÐµ Ð»ÑÐ³ÐºÐ¸Ñ, ÐµÑ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÑÐ°Ð¿Ñ, ÑÐ°ÑÐºÑÑÑÑ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÐ°ÑÑÐ¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÑ. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð½Ð°Ð¹Ð´ÐµÐ½Ð° Ð¸ Ð¾ÑÐ¾Ð±ÑÐ°Ð½Ð° Ð½Ð°ÑÑÐ½Ð°Ñ Ð»Ð¸ÑÐµÑÐ°ÑÑÑÐ° Ð¿Ð¾ ÑÐµÐ¼Ðµ. Ð Ð°ÑÐºÑÑÑÑ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÑÐ°Ð¿Ñ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð´ÐµÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐ°ÐºÐ° Ð»ÑÐ³ÐºÐ¾Ð³Ð¾. Ð Ð¿ÐµÑÐ²Ð¾Ð¹ Ð³Ð»Ð°Ð²Ðµ Ð¾Ð¿Ð¸ÑÐ°Ð½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ Ð¸ Ð¿Ð¾ÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð»ÑÐ³ÐºÐ¸Ñ, Ð´Ð°Ð½Ð¾ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ ÑÐ°Ð´Ð¸Ð¾Ð¼Ð¸ÐºÐ¸ Ð¸ ÑÐ°Ð´Ð¸Ð¾Ð³ÐµÐ½Ð¾Ð¼Ð¸ÐºÐ¸. ÐÐ¾ Ð²ÑÐ¾ÑÐ¾Ð¹ Ð³Ð»Ð°Ð²Ðµ Ð¾Ð¿Ð¸ÑÐ°Ð½Ñ: Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ñ ÐÐ¢ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð², Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÐ¼Ð¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ°Ð¼Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÐ¼Ð¸, ÑÑÐ°Ð¿ Ð¿ÑÐµÐ´Ð²Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸, Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð² Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸ÑÑ. Ð¢Ð°ÐºÐ¶Ðµ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð³Ð»Ð°Ð²Ðµ ÑÐ°ÑÐºÑÑÑÑ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ ÑÐ°ÐºÐ¾Ð²ÑÑ ÑÐ·ÐµÐ»ÐºÐ¾Ð², Ð¸Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¸ Ð¾ÑÐ±Ð¾Ñ. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ Ð¾ÑÐºÑÑÑÑÐµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÑÑÑÑ Ð¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸, ÑÐ°ÐºÐ¸Ðµ ÐºÐ°Ðº Scopus ID, Ð ÐÐÐ¦ ID, Google Scholar ID. ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Matlab.
description: The topic of the final qualifying work: "The use of signs of radiomics in the processing of CT images in lung cancer." The object of research of the final qualifying work is application of radiomics features for CT image processing in lung cancer. The purpose of the work is to review the latest research in the field of radiomics for CT imaging in lung cancer, its main stages, to reveal the most used tools. In the course of the work, scientific literature on the topic was found and selected. The main stages of computer systems for detecting and detecting lung cancer are disclosed. The first chapter describes the main diseases and lesions of the lungs, describes radiomics and radiogenomics. The second chapter describes: the sources of obtaining CT images and their description by researchers, the stage of pre-processing, the main methods used in research are given. Also in this chapter, the methods of segmentation of cancer nodules, their classification and selection are disclosed. Open educational resources and information search and analysis programs, such as Scopus ID, RSCI ID, Google Scholar ID, were used. The Matlab software is applied.