Abstract:

The corona virus (COVID-19) spread speedily over the world and eventually became a pandemic. It has had a terrible impact on people's lives, public health, and the global economy. It is vital to find positive cases as soon as workable to prevent the pandemic from spreading further and to treat patients as hurrying as possible. A chest X-ray exam can detect this condition, which should be treated appropriately. Using a multilayer Perceptron (MLP) Neurons Network and a Convolutional Neural Network (CNN). in this study we present an automatic detection approach for COVID-19 infection based on chest X-ray images. The two models are evaluated in two classes, COVID-19 and normal X-ray images, with 95,7% accuracy for MLP model and, 90% accuracy for the CNN model

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