title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð½Ð¾Ð²ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ ÑÐµÐºÑÑÑÑÐ½ÑÑ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð¸Ð· Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ ÐÐ¢-ÑÐºÐ°Ð½Ð¾Ð² Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐ¸Ð¿Ð° Ð¼ÑÑÐ°ÑÐ¸Ð¹
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: Development of new methods for extracting texture features from medical ct scans to detect the type of mutations
Creators: name: Ð¨Ð¸ Ð¦Ð·ÑÐ½Ñ
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: 2024
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð°Ñ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ñ
Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð²
Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÑÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ð°
computed tomography (ct)
feature extraction
texture analysis
machine learning
personalized medicine

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ âÂ  Ð¼ÐµÑÐ¾Ð´ Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ ÑÐµÐºÑÑÑÑÐ½ÑÑ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð¿ÑÐ¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð¹ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ð¸.Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ âÂ  Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ð½Ð¾Ð²ÑÐ¹ Ð¼ÐµÑÐ¾Ð´ Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐµÐºÑÑÑÑÑ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¼ÑÑÐ°ÑÐ¸Ð¹ EGFR Ð¸ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¿ÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÐ¼Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð², ÑÑÐ°Ð²Ð½Ð¸Ð²Ð°Ñ ÐµÐ³Ð¾ Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ð¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸. ÐÐ¾ÑÐ²Ð»ÐµÐ½Ð¸Ðµ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð¹ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ð¸ ÐºÐ°Ðº ÐºÐ»ÑÑÐµÐ²Ð¾Ð¹ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÑÐ¸Ð¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð»Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ðµ Ð¿ÐµÑÐµÐ´Ð¾Ð²ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸. Ð ÑÑÐ¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÑÑÑ Ð½Ð¾Ð²ÑÐ¹ Ð¼ÐµÑÐ¾Ð´ Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ ÑÐµÐºÑÑÑÑÐ½ÑÑ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¼ÑÑÐ°ÑÐ¸Ð¹ EGFR. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¿Ð¾ÐºÐ°Ð·ÑÐ²Ð°ÑÑ ÑÐ²ÐµÐ»Ð¸ÑÐµÐ½Ð¸Ðµ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ð¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°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¸. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ ÑÑÐµÐ´ÑÑÐ²Ð° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ (Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹) ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸Â  Python,Matlab. ÐÑÐ¸Ð¼ÐµÐ½Ð¸ÑÑ (Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°ÑÑ) Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Matlab. ÐÑÐ¾Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÐ¾Ð²Ð°Ð½ Ð¿Ð¾ÑÐµÐ½ÑÐ¸Ð°Ð» Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐµÐºÑÑÑÑÑ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¼ÑÑÐ°ÑÐ¸Ð¹. ÐÐµÑÐ¾Ð´, Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½ÑÐ¹ Ð² ÑÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¸, Ð¼Ð¾Ð¶ÐµÑ ÑÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾ Ð¿Ð¾Ð¼Ð¾ÑÑ Ð² ÑÐ°Ð½Ð½ÐµÐ¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐµ Ð¸ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¼ Ð»ÐµÑÐµÐ½Ð¸Ð¸ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ, Ð´Ð¾ÑÑÐ¸Ð³Ð°Ñ Ð·Ð½Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐµÑÑÐ° Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ ÑÑÐ°Ð´Ð¸ÑÐ¸Ð¾Ð½Ð½ÑÐ¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸.
description: Object of study is texture feature extraction method in medical CT scans.The aim is to develop a new texture feature extraction method for EGFR mutation detection and show the accuracy of the proposed feature extraction method, comparing it with existing methods.The emergence of computed tomography (CT) as a key technology in medical imaging has spurred the development of advanced diagnostic methods. This paper proposes a new texture feature extraction method for EGFR mutation detection. The results show the accuracy of the proposed feature extraction method and compare it with existing methods. Use open educational resources and programs for searching and analyzing information. Use automation (computer-aided) development tools Python, Matlab. Apply (test) Matlab software. Demonstrated the potential of texture analysis to improve mutation detection accuracy. The method proposed in this study can greatly aid in the early diagnosis and personalized treatment of the disease, making significant progress compared with traditional methods.