Deep Learning Models- Based CT-Scan Image Classification for Automated Screening Of COVID-19

This study proposes a deep learning approach for automated COVID-19 screening via CT-scan image classification. Using a comprehensive dataset, we preprocess images, extract features, and employ a cutting-edge deep learning architecture for classification. Results demonstrate high accuracy, sensitivity, and specificity, showcasing the model’s robustness across diverse datasets. A comparison with existing methods highlights its effectiveness. Our research contributes a reliable and scalable solution for early COVID-19 detection, supporting timely decision-making. The study discusses ethical considerations and emphasizes responsible AI use in healthcare. This work signifies a technological advancement with implications for future research and application in healthcare systems, addressing a critical need in the ongoing global pandemic.