Strategical Investigation of Transfer Learning Approach for Covid’19 Screening from CT-Scan

Abstract

Covid’19 pandemic has set new challenges and benchmarks for development, in the field of Medical Sciences. Front line workers are defeating the Covid’19 challenge in four steps: Screening and Diagnosis, Contact Tracing, Drugs and Vaccine Development and Prediction & Forecasting.Timely execution with high precision in the above segments can save millions of lives.Artificial Intelligence has proved an indispensable contribution in predicting critical factors in many spheres.Considering the ability of the AI to process huge database and conclude with high precision motivate us to use AI for Screening and Diagnosis in Covid’19 Pandemic. In this research paper a strategical approach for use of Transfer Learning for screening and diagnosis of the Covid’19 Patients is demonstrated. In this paper, use of Xception model for classifying the Covid’19 infected patients are demonstrated.