CNN-resNet-50 Algorithm to Detect the Novel Coronavirus (COVID-19) Using CT Images

The detection of the Covid-19 pandemic has been crucial in ensuring health safety and preventing the spread of the virus. In this paper, we present a novel approach by combining the CNN and ResNet-50 algorithms into a unified model. Our experimental results showcase the remarkable efficiency of the proposed method, outperforming both the individual CNN and ResNet-50 approaches. The hybrid CNN-ResNet-50 algorithm demonstrates its ability to automatically and effectively assist in the early diagnosis of COVID-19 patients. By leveraging this combined model, we aim to contribute to the improved detection and management of the pandemic.