Table 2.

The calculated performance metrics of the proposed model.

	DenseNet_201
	TP	FP	FN	TN	Accuracy(%)	Precision (%)	Recall(%)	F1-score
Fold-1	61	7	5	146	94.52	89.71	92.42	91.04
Fold-2	58	3	8	150	94.98	95.08	87.88	91.34
Fold-3	60	2	6	151	96.35	96.77	90.91	93.75
Fold-4	61	5	5	148	95.43	92.42	92.42	92.42
Fold-5	62	3	4	150	96.80	95.38	93.94	94.66
Total	302	20	28	745	95.62	93.79	91.52	92.64
	ResNet_18
	TP	FP	FN	TN	Accuracy(%)	Precision(%)	Recall(%)	F1-score
Fold-1	58	9	8	144	92.24	86.57	87.88	87.22
Fold-2	59	13	7	140	90.87	81.94	89.39	85.51
Fold-3	61	8	5	145	94.06	88.41	92.42	90.37
Fold-4	61	11	5	142	92.69	84.72	92.42	88.41
Fold-5	60	3	6	150	95.89	95.24	90.91	93.02
Total	299	44	31	721	93.15	87.17	90.61	88.86
	SqueezeNet
	TP	FP	FN	TN	Accuracy(%)	Precision(%)	Recall(%)	F1-score
Fold-1	58	11	8	142	91.32	84.06	87.88	85.93
Fold-2	60	9	6	144	93.15	86.96	90.91	88.89
Fold-3	59	10	7	143	92.24	85.51	89.39	87.41
Fold-4	61	12	5	141	92.24	83.56	92.42	87.77
Fold-5	62	5	4	148	95.89	92.54	93.94	93.23
Total	300	47	30	718	92.97	86.46	90.91	88.63

TP: True Positive; FP:False Positive; FN: False Negative; TN: False Positive.