Covid 19 Prediction Through Chest CT Scans using Deep Learning and Deploying Model on Flask Web

Abstract

Given the infection's wide growth, one of the biggest challenges on the planet right now is identifying Corona Virus Disease 2019 (COVID-19). Recent findings show that, with over 225M confirmed instances, the number of people who have been diagnosed with COVID-19 is drastically increasing;Around the world, the sickness is affecting several countries. In this study, the global COVID-19 circulation incidence is briefly examined, and a deep convolutional neural network (CNN) artificial intelligence model is developed to identify COVID19 patients using real-world information. To find such patients, the model looks at chest CT scan images. The results show that such an approach is helpful in diagnosing COVID-19 since CT scans are easily accessible fast and inexpensively. This suggested approach is effective at detecting COVID-19 and achieves an F-measure range of 95-99%, according to empirical findings from 100 CT scan pictures of actual patients. The suggested model has a considerable impact in identifying sick individuals.

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