Transfer Learning Technique for Covid-19 Screening from CT-Scan: An Empirical Approach

As a result of the Covid-19 pandemic, field Medical Sciences has been challenged with new challenges and benchmarks for development. Front line workers are overcoming challenge four steps: Screening Diagnosis, Contact Tracing, Drug Vaccine Development, Prediction & Forecasting. Following above segments carefully can save millions lives. Artificial Intelligence proven invaluable in predicting critical factors many fields. With ability AI to process huge databases conclude high precision, we motivated use screen diagnose pandemic. This paper examines strategic Transfer Learning screening diagnosis Patients. The Xception model is used categorize infected patients. Our proposed achieved better Accuracy, Sensitivity Specificity as compared state-of-the-art models.