title: ÐÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐ¸Ð¿Ð° ÑÐµÑÐ°Ð¿Ð¸Ð¸ Ð¿ÑÐ¸ Ð»ÐµÑÐµÐ½Ð¸Ð¸ ÑÐ°ÐºÐ° Ð»ÑÐ³ÐºÐ¸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: Features of the use of machine learning methods to determine the type of therapy in the treatment of lung cancer
Creators: name: Ð¡ÐºÐ°Ð»ÑÐ½Ð¾Ð²Ð°, ÐÐ°ÑÐ¸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: ÑÐ°Ðº Ð»ÐµÐ³ÐºÐ¸Ñ
ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð°Ñ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ñ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¼ÐµÐ´Ð¸Ð°Ð½Ð½ÑÐ¹ ÑÐ¸Ð»ÑÑÑ
ÑÐ²ÐµÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
lung cancer
computed tomography
machine learning
median filter
convolutional neural network
image classification
algorithm

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â ÐÐ¢ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ ÑÐ°ÐºÐ° Ð»ÐµÐ³ÐºÐ¾Ð³Ð¾. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐ³Ð¾ Ð²Ð¸Ð´Ð° ÑÐµÑÐ°Ð¿Ð¸Ð¸ Ð¿ÑÐ¸ Ð»ÐµÑÐµÐ½Ð¸Ð¸ ÑÐ°ÐºÐ° Ð»ÐµÐ³ÐºÐ¸Ñ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð¹ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ð¸. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ 105 ÑÐ½Ð¸Ð¼ÐºÐ¾Ð² ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð¹ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ð¸ Ñ ÑÐ°ÐºÐ¾Ð¼ Ð»ÐµÐ³ÐºÐ¸Ñ Ð±ÑÐ»Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ Ð½Ð° Ð´Ð²Ðµ Ð³ÑÑÐ¿Ð¿Ñ ÑÐ¸Ð¿Ð° ÑÐµÑÐ°Ð¿Ð¸Ð¸: ÐÐ°ÑÐ±Ð¾Ð¿Ð»Ð°ÑÐ¸Ð½ Ð¸ Ð¦Ð¸ÑÐ¿Ð»Ð°ÑÑÐ¸Ð½. Ð¡Ð¿Ð¾ÑÐ¾Ð± Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð²Ð¸Ð´Ð° ÑÐµÑÐ°Ð¿Ð¸Ð¸ Ð¿ÑÐ¸ Ð»ÐµÑÐµÐ½Ð¸Ð¸ ÑÐ°ÐºÐ° Ð»ÑÐ³ÐºÐ¸Ñ Ð¸ Ð²ÑÐ±Ð¾ÑÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ ÐÐ¢ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð², Ð¾Ð¿Ð¸ÑÐ°Ð½ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ, ÑÐ¾ÑÑÐ¾Ð¸Ñ Ð¸Ð· ÑÐ»ÐµÐ´ÑÑÑÐ¸Ñ ÑÐ°Ð³Ð¾Ð²: â¢ Ð¿ÑÐ¸Ð¾Ð±ÑÐµÑÐµÐ½Ð¸Ðµ Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð¹ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ð¸; â¢ Ð¿ÑÐµÐ´Ð²Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð°Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð´Ð°Ð½Ð½ÑÑ; â¢ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ; â¢ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð²ÑÐ±Ð¾Ñ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐ³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, ÑÐ¿Ð¾ÑÐ¾Ð±Ð½ÑÐ¹ Ð±Ð¾Ð»ÐµÐµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑ ÑÐ¸Ð¿ ÑÐµÑÐ°Ð¿Ð¸Ð¸ Ð¿ÑÐ¸ Ð»ÐµÑÐµÐ½Ð¸Ð¸ ÑÐ°ÐºÐ° Ð»ÑÐ³ÐºÐ¸Ñ. Ð Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð±ÑÐ»Ð¸ Ð·Ð°Ð´ÐµÐ¹ÑÑÐ²Ð¾Ð²Ð°Ð½Ñ Ð¾ÑÐºÑÑÑÑÐµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÑÑÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ Ð´Ð»Ñ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸. ÐÐ° ÑÑÐ°Ð¿Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÐ»Ð¸ÑÑ ÑÐ°Ð·Ð½Ð¾Ð¾Ð±ÑÐ°Ð·Ð½ÑÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐµ Ð¿ÑÐ¾Ð´ÑÐºÑÑ, ÑÐ°ÐºÐ¸Ðµ ÐºÐ°Ðº Matlab Ð¸ Python.
description: The object of the study is a CT image of lung cancer. The aim of the work is to determine the best type of therapy in the treatment of lung cancer using machine learning algorithms and computed tomography. As a result of the study, 105 CT scans with lung cancer were classified into two groups of therapy types: Carboplatin and Cisplastin. The method of determining the type of therapy in the treatment of lung cancer and the choice of a machine learning algorithm for classifying CT images described in this paper consists of the following steps: â¢ acquisition of a database of computed tomography; â¢ pre-processing of data; â¢ data analysis; â¢ classification of images. The result of the work is the selection of the best machine learning algorithm that can more effectively determine the type of therapy in the treatment of lung cancer. In the process of preparation, open educational resources were used, as well as programs for searching and analyzing information. At the stage of work, various software products were used, such as Matlab and Python.