CNN Analysis for the detection of SARS-CoV-2 in Human Body

Abstract

The Novel Coronavirus or SARS-CoV-2 is perhaps the world’s biggest threat in the present scenario. Machine learning and deep learning techniques are widely used worldwide in the medical field for the detection and diagnosing purpose against most of the infectious diseases. Considering the potentials of Deep learning and Convolutional Neural Network or CNN, this is study developed a model of CNN in order to detect and classify COVID- 19 infections in the human body efficiently. Solution for many daily life problems are developed with the help of deep learning technique and Artificial Intelligence. The detection model developed in this study can be very useful especially considering the pandemic situation worldwide. Datasets were trained to develop a CNN which gives excellent accuracy with minimal loss percentage. The study demonstrates that the CNN can be used to effectively for the detection of SARS-CoV or novel-Coronavirus in human body since the trained model has been with accomplished high accuracy in image classification.