Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture

Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md. Ashraf Uddin, Sunil Aryal

Abstract: Highlights•Improved COVID-19 detection by achieving 100% accuracy on X-ray images.•Exhibited remarkable performance in identifying Lung diseases with 99.17% accuracy.•Provides a valuable tool for precise COVID-19 diagnosis as well as Lung infection.•Aiding healthcare professionals with rapid and accurate patient identification.