Detection Covid-19 based on chest X-ray images using convolution neural networks

Abstract EN

Covid-19 is a deadly virus that has spread worldwide, causing millions of deaths.

Chest X-ray is one of the most common methods of diagnosing the infection of Covid -19.

therefore, this paper has presented an efficient method to detect Covid-19 through X-rays of the chest area through a Neural convolution network (CNN).

the proposed system has used a convolution neural network to classify the extracted features.

Since CNN needs a set of data defined for training and testing, the proposed method used a public dataset of 350 pneumonia x-ray images, 300 viral images, and 350 normal images for evaluation.

besides, the proposed work achieved a satisfactory accuracy of 95% based on the X-ray image.