Learning Without Forgetting By Leveraging Transfer Learning For Detecting Covid-19 Infection From Ct Images

This article reviews the recent deep learning models that help to detect Covid-19 infection from CT images. It discusses the datasets, deep neural network topologies, fine-tuning techniques, Bayesian optimization, and LwF used in the research. The results of the experiments and a comparison of the proposed models are highlighted. The article also provides the experimental results, findings from the proposed work, and error analysis.