Table 1.

A taxonomy of the reviewed works for COVID-19 diagnosis compared to our proposed model.

Work	Optimization algorithm	Manual architecture design	Ensemble learning	Tuned hyperparameters
				Kernel size	Number of filters	Number of epochs	Batch size	Number of convolutional layers	Dropoutrate	Maxpooling size	Learning rate	Momentum rate	Optimizer	Activation function
Hemdan et al. [32]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Wang and Wong [33]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Leoy et al. [34]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Apostolopoulus and Mpesiana [35]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Narin et al. [36]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Sethy and Behera [37]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Ozturk et al. [38]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Hassantabar et al. [39]	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No
Goel et al. in [40]	Yes	No	No	No	No	Yes	No	No	No	No	Yes	Yes	No	No
Our work	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes