TABLE IV. Performance Comparison of Different Approaches on COVIDx Dataset With Noisy Samples.

Noise	Method	ACC (%)	SEN (%)	SPE (%)
10%	PbCNN [15]	83.22	81.98	89.01
	COVID-Net [14]	91.03	87.94	90.62
	DenseNet-121 [48]	91.97	87.94	92.17
	CoroNet [49]	89.45	88.74	90.06
	ReCoNet [47]	91.63	90.82	91.16
	RCoNet	92.78	92.21	93.51
	RCoNet	92.98	93.39	93.12
	RCoNet	92.01	91.41	92.76
20%	PbCNN [15]	78.42	75.90	80.29
	COVID-Net [14]	82.51	82.77	81.95
	DenseNet-121 [48]	82.16	81.01	82.21
	CoroNet [49]	82.33	81.10	81.89
	ReCoNet [47]	83.26	82.72	83.17
	RCoNet	84.18	84.56	85.79
	RCoNet	84.30	84.01	85.99
	RCoNet	84.34	83.96	85.21
30%	PbCNN [15]	67.76	66.47	70.61
	COVID-Net [14]	71.98	70.13	71.55
	DenseNet-121 [48]	72.74	72.36	72.96
	CoroNet [49]	71.87	72.02	71.54
	ReCoNet [47]	73.26	72.53	73.11
	RCoNet	74.56	74.20	75.54
	RCoNet	74.69	74.51	76.94
	RCoNet	74.88	74.37	75.21