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

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

1Dr. Alagumani S, AP CSE, SRM IST Ramapuram

 2Mohammad Sudaise, CSE, SRM IST Ramapuram

 3Manish Singh, CSE, SRM IST Ramapuram

4N. Himanshu, CSE, SRM IST Ramapuram

5Faiz Ashraf, CSE, SRM IST Ramapuram

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Abstract - 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.

Key Words: Deep learning, COVID-19 screening, CT-scan image classification, Convolutional Neural Network, medical imaging automated diagnosis.