Review of AI based diagnosis of covid-19 employing CT images

ABSTRACT

On account of unforeseenepidemic of COVID-19, virus is spreading form one to another in proximity across the globe. To thwart the spread of virus the untimely diagnosis and isolation of the effected person is crucial for the alleged patients. Image processing technology fortified with AI techniques for automated diagnosis of COVID-19 helps radiologist's clinical workflow and minimizes the chances of misdiagnosis. The present study presents the potential role of various convolutional neural network in classification, localization, and precise analysis in the effect of COVID-19 by employingimages of CT scan. The study also presents various performance metrics for validating the diagnosing models and the use of AI imaging or portable point of care ultrasound (POCUS) that prevents the patients to move, minimizes the possible spread of virus and also prevent the patients to get exposed to ionizing radiation in CT scans.