PNEUMONIA DETECTION IN X-RAY IMAGES USING ARTIFICIAL INTELLIGENCE

DOI: 10.22138/2500-0918-2023-20-4-162-166

N.V. Markina, E.I. Belenkova, G.A. Didenko,
S.T. Kasyuk, O.A. Stepanova, T.N. Shamaeva

South Ural State Medical University,
Department of Mathematics, Medical Informatics, Computer Science and Statistics, Physics,
Chelyabinsk, Russia

Abstract. The article considers detecting pneumonia in chest X-Rays based on the use of artificial intelligence. A pneumonia X-ray dataset is described. The Python program implementing a convolutional neural network GoogLeNet is described. The result of training the neural network and evaluation metrics are outlined. The comparison of the obtained results and data of published international researches is given.

Keywords: artificial intelligence, chest radiography, convolutional neural network, evaluation metrics

There is no conflict of interest.
Contact details of the corresponding author:
Serey T. Kasyuk
sergey.kasyk@gmail.com
Received 03.07.2023
For citation:
Markina N.V., Belenkova E.I., Didenko G.A., Kasyuk S.T., Stepanova O.A., Shamaeva T.N. Pneumonia detection in X-Ray images using artificial intelligence [Online] Vestn. Ural. Med. Akad. Nauki. = Journal of Ural Medical Academic Science. 2023, Vol. 20, no. 4, pp. 162–166. DOI: 10.22138/2500-0918-2023-20-4-162-166 (In Russ)

REFERENCES
1. Chest X-Ray Images (Pneumonia). https://www.kaggle.com/datasets/
paultimothymooney/chest-xray-pneumonia.
2. Kundu R, Das R, Geem ZW, Han G-T, Sarkar R (2021) Pneumonia detection in chest Xray images using an ensemble of deep learning models. PLoS ONE 16(9): e0256630. https://doi.org/10.1371/journal.pone.0256630.

Authors
Nelli V. Markina
PhD, Head of the Department of Mathematics, Medical Informatics, Computer Science and Statistics, Physics
markina.nel@yandex.ru

Elvira I. Belenkova
Assistant of the Department of Mathematics, Medical Informatics, Computer Science and Statistics, Physics
b-elv@yandex.ru

Galina A. Didenko
PhD, Associate Professor of the Department of Mathematics, Medical Informatics, Computer Science and Statistics, Physics
pga80@mail.ru

Serey T. Kasyuk
PhD, Associate Professor of the Department of Mathematics, Medical Informatics, Computer Science and Statistics, Physics
sergey.kasyk@gmail.com

Oksana A. Stepanova
PhD, Associate Professor of the Department of Mathematics, Medical Informatics, Computer Science and Statistics, Physics
okalst@mail.ru

Tatyana N. Shamaeva
PhD, Associate Professor of the Department of Mathematics, Medical Informatics, Computer Science and Statistics, Physics
shamtan@rambler.ru

South Ural State Medical University
Russian Federation, Chelyabinsk