Using a Neural Network to Separate Lungs in X-Ray Images
- 作者: Minyazev R.S.1, Rumyantsev A.A.1, Baev A.A.2, Baeva T.D.2
-
隶属关系:
- Kazan National Research Technical University (Tupolev-KAI)
- Volga State Technical University
- 期: 卷 83, 编号 12 (2019)
- 页面: 1494-1497
- 栏目: Article
- URL: https://journals.rcsi.science/1062-8738/article/view/187605
- DOI: https://doi.org/10.3103/S1062873819120153
- ID: 187605
如何引用文章
详细
An auxiliary neural network is developed to solve the problem of preliminarily processing X-ray images to distinguish areas with lung and spine, and to mask unnecessary areas. Images processed with the neural network are used to study the main neural network for detecting pathology in lungs. A comparative analysis is performed of the quality of studying the main neural network on the basis of preliminarily processed images and initial ones.
作者简介
R. Minyazev
Kazan National Research Technical University (Tupolev-KAI)
Email: kruzenshteyn@yandex.ru
俄罗斯联邦, Kazan, 420111
A. Rumyantsev
Kazan National Research Technical University (Tupolev-KAI)
Email: kruzenshteyn@yandex.ru
俄罗斯联邦, Kazan, 420111
A. Baev
Volga State Technical University
编辑信件的主要联系方式.
Email: kruzenshteyn@yandex.ru
俄罗斯联邦, Yoshkar-Ola, 424000
T. Baeva
Volga State Technical University
Email: kruzenshteyn@yandex.ru
俄罗斯联邦, Yoshkar-Ola, 424000
补充文件
