DETECTING COVID-19 BASED ON CHEST X-RAY IMAGES USING WAVELET SCATTERING AND CONVOLUTION NEURAL NETWORKS

This paper demonstrates a new technique for detecting covid-19 cases in chest X-ray images. The virus Covid-19 began to spread widely around the world, killing an increasing number of people. The Wavelet scattering network is used to find distinguishing features in X-ray images, and the convolution neural network (CNN) is used to classify the extracted features. The images were divided into three categories: 500 x-ray images for pneumonia, 400 covid-19 images, and 500 normal images. The proposed system produced x-ray images with a precision of 98.37 percent.

Keywords:

:covid-19, deep learning, chest X-ray, convolution Neural network, Wavelet scattering network

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