Application of neural network technologies to detect pneumonia by X-ray

Authors

  • Катерина Островська
  • Anna Minaenko

DOI:

https://doi.org/10.34185/1562-9945-5-136-2021-18

Keywords:

згорткові нейроні мережі, пневмонія, розпізнавання образів, датасет

Abstract

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:

https://www.kaggle.com/

Rostovtsev V.S. Yskusstvennыe neironnыe sety: uchebnyk / V.S.Rostovtsev. — Sankt-Peterburh : Lan, 2019. — 216s.

Published

2021-05-29