Convolutional Neural Network for COVID-19 Detection

The unprecedented COVID-19 pandemic, with a zero-patient emerging to millions in few months, has spread across countries and is approaching nearly 280 million of cases worldwide. Billions of check kits are given to hospitals because of exploding cases of COVID-19. Hence, it becomes necessary to implement automatic detection system to restrain COVID-19 spreading. Here, we have demonstrated a convolutional neural network (CNN) model which is trained on X-ray, CT scan images of chest cavity collected from totally different sources to foretell COVID-19 patients and healthy persons. The model is thereby connected to a Web application, which is be made by using Hyper Text Markup Language (HTML), Cascaded Style Sheet (CSS), JavaScript (JS), jQuery, ECMA Script (ES6), and Flask (Python). The model will be providing us the probability so that huge numbers of tests can be done in few clicks with available medical scans.