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Detection of COVID using X-Rays

Suhas G K, Mr Bhagappa, Deepak N.R.

Abstract


The Outbreak of COVID -19 across the World has led to large scale infection and has been declared as a major pandemic by the World Health Organization (WHO). Apart from its infection rate several Measures has to be taken to prevent the further Infection .Several Measures like isolation (if needed) can start as early as possible and spread of the virus is contained among the healthy people. Various Techniques are available in order to detect the COVID-19 like RT- PCR, RAT (Rapid Antigen Test).etc. There has been a major Drawback with these methods as it takes more time to predict the result. Our project aims to integrate AI (Artificial Intelligence) with medical science to develop a classification tool to recognize Covid-19 infection. Artificial Intelligence (AI) approaches for COVID prediction from X-rays can be quite valuable, and can help to alleviate the scarcity of doctors and physicians in rural areas. This paper proposes various transfer learning implemented models like VGG, Inception, Resnet-50, Xception for COVID-19 prediction from chest X-ray images. Each of these image classification models produce better accuracy and faster detection of COVID with help of X-Rays. The positively classified images by our model indicate the presence of COVID- 19.


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References


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