Using a Neural Network to Separate Lungs in X-Ray Images
- Авторы: Minyazev R.S.1, Rumyantsev A.A.1, Baev A.A.2, Baeva T.D.2
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Учреждения:
- Kazan National Research Technical University (Tupolev-KAI)
- Volga State Technical University
- Выпуск: Том 83, № 12 (2019)
- Страницы: 1494-1497
- Раздел: Article
- URL: https://journals.rcsi.science/1062-8738/article/view/187605
- DOI: https://doi.org/10.3103/S1062873819120153
- ID: 187605
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Аннотация
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.
Об авторах
R. Minyazev
Kazan National Research Technical University (Tupolev-KAI)
Email: kruzenshteyn@yandex.ru
Россия, Kazan, 420111
A. Rumyantsev
Kazan National Research Technical University (Tupolev-KAI)
Email: kruzenshteyn@yandex.ru
Россия, Kazan, 420111
A. Baev
Volga State Technical University
Автор, ответственный за переписку.
Email: kruzenshteyn@yandex.ru
Россия, Yoshkar-Ola, 424000
T. Baeva
Volga State Technical University
Email: kruzenshteyn@yandex.ru
Россия, Yoshkar-Ola, 424000
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