D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images

Table 5

Values of criteria of experimented models.

Model	Accuracy (%)	Precision (%)	Sensitivity (%)	Specificity (%)	F1-score (%)
VGG19 [18]	93.11	96.09	92.93	96.47	93.02
GoogleNet [19]	92.56	95.29	91.56	95.78	92.06
ResNet50 [20]	93.53	96.01	93.15	96.53	93.34
DenseNet121 [21]	93.11	95.98	92.75	96.38	92.92
SqueezeNet1.0 [22]	67.91	45.83	50.51	64.16	57.93
MobileNet [23]	88.53	90.14	87.25	91.84	87.89
ShuffleNet [24]	87.02	90.08	86.17	92.31	86.59
D2-CovidNet	94.43	95.14	94.02	96.61	95.30

The best results are bolded.