Pneumonia image classification based on convolutional neural network

Abstract

<p>Chest X-ray is the commonly used method to diagnose pneumonia. How to correctly interpret the image information is always the main challenge faced by doctors. Convolution Neural Network (CNN) is a popular deep learning algorithm with excellent image recognition performance, and has been used widely in automatic recognition and diagnosis of medical images. This paper studies the classification of normal and pneumonia with more than 5000 chest X-ray images by employing three CNN models of VGG16, VGG19 and Inception V3. The performances of each model for classification was evaluated and compared. &copy; 2021 COPYRIGHT SPIE.</p>