Pneumonia Detection from Pediatric Lung X-Ray Images with Convolutional Neural Network Method

被引：1

作者：

Demir, Yasin ^{[1
]}

Bingol, Ozkan ^{[2
]}

机构：

[1] Gumushane Univ, Biyoteknol, Gumushane, Turkey

[2] Gumushane Univ, Yazilim Muhendisligi, Gumushane, Turkey

来源：

29TH IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS (SIU 2021) | 2021年

关键词：

Lung X-ray images; deep learning; convolutional neural network; pneumonia; pediatric;

D O I：

10.1109/SIU53274.2021.9477835

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Pneumonia can be cause diseases such as cough, fever and respiratory problems and to death in the progressive situations. Mostly lung x-ray images are used for diagnosis of pneumonia. In this study, an unique convolutional neural network model that can help experts in detection of pneumonia using lung x-ray images below 5 years of age. In the model, open access to 5840 images has been used, and various data increasing methods were used to increase the performance of the training and the success of the method. With the proposed convolutional neural network model, an accuracy rate of 94.55% has been achieved.

引用

页数：4

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