Table 2.

Gradual development by imposing the proposed network, examination of CNN and CNN + LSTM has shown separately. The margin of error is also specified at $95\text{\%}$ confidence level.

Type	Model	Evaluating Parameter
		Accuracy	Sensitivity	Specificity	F1 Score
Linear	DenseNet-201	0.575 $\pm$ 0.107	0.575 $\pm$ 0.107	0.878 $\pm$ 0.048	0.57 $\pm$ 0.130
	Proposed CNN	0.700 $\pm$ 0.091	0.700 $\pm$ 0.091	0.908 $\pm$ 0.053	0.702 $\pm$ 0.123
	Proposed CNN + LSTM	0.791 $\pm$ 0.058	0.791 $\pm$ 0.058	0.901 $\pm$ 0.034	0.786 $\pm$ 0.057
Convex	DenseNet-201	0.535 $\pm$ 0.039	0.535 $\pm$ 0.039	0.662 $\pm$ 0.082	0.515 $\pm$ 0.076
	Proposed CNN	0.610 $\pm$ 0.040	0.610 $\pm$ 0.040	0.756 $\pm$ 0.097	0.586 $\pm$ 0.035
	Proposed CNN + LSTM	0.677 $\pm$ 0.032	0.677 $\pm$ 0.032	0.768 $\pm$ 0.140	0.666 $\pm$ 0.034