A Novel Automatic Approach for Detection of COVID-19 using Double Deep Neural Networks with X-ray Images

Abstract

Elderly persons and patients with chronic illnesses are mostly affected by the pandemic disease Covid which also claims lives. It has terrible implications on daily living, public health, and the global economy. Finding positive examples as soon as feasible is difficult. There are only a certain amount of covid test kits available because of the daily rise in cases. Implementing an autonomous detection system as a speedy alternative diagnosis option is essential to stopping the future spread of this epidemic and to treating afflicted persons as soon as possible. Combining radiological imaging with the use of cutting-edge AI tools can be beneficial for the precise diagnosis of this illness and can also help distant areas who lack expert medical care to find a solution. In this project, we have used double deep neural networks to develop an automatic detection of Covid (Convolutional-Neural-Network model, VGG-16 model). Covid chest X-rays will be used as the history data. It will be determined whether the chestX-ray image is covid positive or covid negative.