An Ensemble Deep Learning Model for Detection Covid-19 from CT Scan Images

Diagnosis of covid-19 using deep learning on ct scan images can play an important role in helping doctors. in this paper, by combining ecientnet-b2 and vision transformers (v it - 1- 32) neural networks a new deep transfer learning is proposed. for evaluation, con-fusion matrix, precision, accuracy, recall, and f1 score are used. the experimental results are 0.9838 for validation accuracy, 0.9667 for test accuracy, and 0.9839 for accuracy.