title: Ð£Ð»ÑÑÑÐµÐ½Ð¸Ðµ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐºÐ°Ð½Ð¾Ð² Ð¾ÑÐ³Ð°Ð½Ð¾Ð² Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð²
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: Improving medical diagnosis with digital processing of patients` organ scans
Creators: name: ÐÐ³ÑÑÐ¸Ñ, Ð¨Ð¾ÑÐ°
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Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÑÐ¸Ð½ÑÑÐ¸Ðµ ÑÐµÑÐµÐ½Ð¸Ð¹
ÑÐ¸ÑÑÐ¾Ð²ÑÐµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
ÑÑÐ°Ð½ÑÑÐµÑÐ½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ°Ðº Ð»ÐµÐ³ÐºÐ¾Ð³Ð¾
Ð±Ð°Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð²
ÑÐ¸ÑÑÐµÐ¼Ð° Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ Ð²ÑÐ°ÑÐµÐ±Ð½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹
digital images
transfer learning
lung cancer
patient database
medical decision support system

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð£Ð»ÑÑÑÐµÐ½Ð¸Ðµ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐºÐ°Ð½Ð¾Ð² Ð¾ÑÐ³Ð°Ð½Ð¾Ð² Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð²Â». Ð¦ÐµÐ»ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð¸Ð»Ð¾ÑÑ ÑÐ»ÑÑÑÐµÐ½Ð¸Ðµ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð² Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ¹. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÑÐ»Ð¾ÑÑ Ð½Ð° Ð±Ð°Ð·Ðµ ÑÐºÐ°Ð½Ð¾Ð² Ð¿Ð°ÑÐ¾Ð»Ð¾Ð³Ð¸Ð¸ ÑÐ°ÐºÐ° Ð»ÐµÐ³ÐºÐ¸Ñ. ÐÑÐµÐ´Ð¼ÐµÑ ÐÐÐ : Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ°Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ½Ð¸Ð¼ÐºÐ¾Ð² Ð¿Ð°ÑÐ¾Ð»Ð¾Ð³Ð¸Ð¸ ÑÐ°ÐºÐ° Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÐµÑÐ¾Ð´Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: ÐºÐ¾Ð½ÑÐµÐ½Ñ-Ð°Ð½Ð°Ð»Ð¸Ð· Ð°ÐºÑÑÐ°Ð»ÑÐ½ÑÑ Ð¿ÑÐ¾ÑÐ¸Ð»ÑÐ½ÑÑ Ð½Ð°ÑÑÐ½ÑÑ Ð¿ÑÐ±Ð»Ð¸ÐºÐ°ÑÐ¸Ð¹ ÐºÐ°Ðº Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, ÑÐ°Ðº Ð¸ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÐ°ÐºÐ° Ð»ÐµÐ³ÐºÐ¸Ñ. ÐÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ðµ ÑÐ¸ÑÑÐ¾Ð²ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð² Ð¿ÑÐ°ÐºÑÐ¸ÐºÐµ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÐ°ÐºÐ° Ð»ÐµÐ³ÐºÐ¸Ñ. ÐÑÑÐ²Ð»ÐµÐ½Ñ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÑÐ°ÑÑÐ¸Ñ Ð±Ð°Ð· Ð´Ð°Ð½Ð½ÑÑâ¦ Ð¸ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐµÐ½Ð½Ð¾ÑÑÑ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ¹ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð². ÐÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¸ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐ¸ Ð² Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÑ ÑÐ°ÐºÐ° Ð»ÐµÐ³ÐºÐ¸Ñ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¿ÐµÑÐµÐ½Ð¾ÑÐ° Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ. ÐÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¾ Ð¿ÑÐµÐ´-Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ Ð² ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ Ð²ÑÐ°ÑÐµÐ±Ð½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹ Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÑÐµ Galenos. ÐÐ±Ð»Ð°ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÐÐÐ : Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ñ Galenos.Clinic. ÐÐ°ÑÑÐ½Ð¾Ð¹ Ð½Ð¾Ð²Ð¸Ð·Ð½Ð¾Ð¹ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÐµÑÑÑ: Ð¼Ð¾Ð´Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐ¸ Ð´Ð»Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð² ÑÐ°ÐºÐ° Ð»ÐµÐ³ÐºÐ¸Ñ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¾Ð±ÑÐ°Ð·ÑÐ¾Ð² ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¿Ð°ÑÐ¾Ð»Ð¾Ð³Ð¸Ð¸ Ð² Ð¾Ð±ÑÐµÐºÑÐ°Ñ Ð¶Ð¸Ð²Ð¾Ð¹ Ð¿ÑÐ¸ÑÐ¾Ð´Ñ, ÑÑÐ¾ Ð² Ð·Ð½Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÑÐµÐ¿ÐµÐ½Ð¸ ÑÐ½Ð¸Ð¼Ð°ÐµÑ ÑÑÑÐ´Ð½Ð¾ÑÑÐ¸ Ð¾Ð±ÑÑÐ»Ð¾Ð²Ð»ÐµÐ½Ð½ÑÐµ ÑÐ°ÑÑÐ¾Ð¹ Ð½Ðµ ÑÐ²ÑÐ·Ð°Ð½Ð½Ð¾ÑÑÑÑ ÑÐµÐ»ÐµÐ²Ð¾Ð³Ð¾ Ð¸ Ð¾Ð±ÑÑÐ°ÑÑÐµÐ³Ð¾ Ð´Ð¾Ð¼ÐµÐ½Ð¾Ð² Ð² Ð¿ÑÐ°ÐºÑÐ¸ÐºÐµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÑÐ²Ð¾Ð´Ñ: ÐÐ°Ð´Ð°ÑÐ¸, Ð¿Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÐµ Ð¿ÐµÑÐµÐ´ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ñ. Ð¦ÐµÐ»Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÑÐ¸Ð³Ð½ÑÑÐ°.
description: Theme of the master's thesis: Â«Improving medical diagnosis with digital processing of patients' organ scansÂ». The purpose of research is improving medical diagnostics of images using neural networks. The study was carried out on the basis of scans of lung cancer pathology. The subject of the thesis: medical diagnostics based on digital analysis of cancer pathology images using machine learning. Research methods: content analysis of relevant specialized scientific publications both in the field of machine learning and in the field of medical diagnosis of lung cancer. The main result of the study:Investigated the condition of digital recommendation systems in the practice of lung cancer diagnosis. Revealed the problems of the formation of training databases and the limitation of neural networks in the field of medical images. Determined the methodological and technical problems of the introduction of the neural network in the diagnosis of lung cancer. Carried out a comparative analysis of training transfer learning methods to improve the efficiency of neural network work. Performed the pre-design of the implementation into the medical decision support system using the example of Galenos.Clinic. Scope results: Medical decision support system Galenos.Clinic. The scientific novelty of research is: modification of the neural network machine learning for the diagnosis of lung cancer images using samples of natural pathology in wildlife objects, which largely removes the difficulties caused by the frequent disparity of the target and training domains in the practice of machine learning. Conclusions: The tasks set for the study have been fulfilled. The purpose of the study has been achieved.