[Retracted] COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques

Figure 10

Epochs versus accuracy graph for all CNN models.

(a) The VGG16 architecture improves both training and validation accuracy. So the VGG16 model performed well. The validation accuracy is greater than the training accuracy, so the model is overfit

(b) In the DenseNet121 architecture, the training accuracy is stable while the validation accuracy increases and decreases at the same time, resulting in a well-performing model

(c) The MobileNet architecture improves both training and validation accuracy. The validation accuracy is greater than the training accuracy, so the model is overfitted

(d) In the Xception architecture, the training accuracy is stable, and the validation accuracy increases and decreases simultaneously

(e) The NASNet architecture improves both training and validation accuracy. The validation accuracy is greater than the training accuracy, so the model is overfitted

(f) In the EfficientNet architecture, training and validation accuracy increase and decrease at the same time