J9. A novel DeepNet model for the efficient detection of COVID-19

Our published journal paper introduces COVID-DeepNet, a novel deep learning model with high accuracy (99.67%) in detecting COVID-19 from lung X-ray images, which outperforms existing methods and could serve as a rapid, efficient, and cost-effective diagnostic tool to assist radiologists in identifying COVID-19 and non-COVID Pneumonia in symptomatic patients.
To find more details, please refer our research article titled “A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients” International Journal of Biomedical Signal Processing and Control, which is available in Elsevier Journal IEEE Access.