Application of neural network technologies to detect pneumonia by X-ray
DOI:
https://doi.org/10.34185/1562-9945-5-136-2021-18Keywords:
згорткові нейроні мережі, пневмонія, розпізнавання образів, датасетAbstract
The work is devoted to the development of an application for detecting pneumonia from X-ray images using neural network technologies in the Python language.
The aim of the work is to develop a program for detecting pneumonia by X-ray images using neural network technologies.
A neural network for the classification of R-NT images was developed and trained, and an application for pneumonia recognition by X-ray images based on neural network technologies was implemented using the Python 3.7 programming language, JetBrains PyCharm Community Edition 2019.2.2 environment and Keras 2.3 libraries. .1, Numpy 1.16.4 and PyQt5 to implement the interface.
References
Sholle Fransua. Hlubokoe obuchenye na Python.- SPb.: Pyter, 2018. - 400 s.: yl.
Ofitsiinyi sait Bibleoteki TensorFlow movy Python [Elektronnyi resurs]: - Rezhym dostupu: https://www.tensorflow.org/
Anhlomovnyi sait Kaggle [Elektronnyi resurs]: - Rezhym dostupu:
Rostovtsev V.S. Yskusstvennыe neironnыe sety: uchebnyk / V.S.Rostovtsev. — Sankt-Peterburh : Lan, 2019. — 216s.