Table 11.

Comparison between the proposed DFC and state-of-the-art methodologies (%)

Methodology	Dataset	Accuracy	Precision	Recall	F_score
MobileNet	CT	93.14	92.43	95.78	94.07
	X-ray	83	89	89	89
DenseNet201	CT	91.72	90.61	92.73	91.65
	X-ray	84	94	94	94
Xception	CT	94.77	93.18	90.72	91.93
	X-ray	95	92	90	90
InceptionV3	CT	91.28	90.47	90.3	90.38
	X-ray	82	85	85	85
InceptionResNetV2	CT	93.04	91.53	94.95	93.2
	X-ray	84	88	88	88
ResNet152	CT	93.74	92.93	93.9	93.41
	X-ray	93	90	89	89
VGG16	CT	91.27	88.07	95.47	91.62
	X-ray	90	94	94	94
VGG19	CT	91.53	91.11	90.72	90.91
	X-ray	90	94	94	94
GoogleNet	CT	92.07	86.8	99.24	92.6
	X-ray	94.2	89.67	100	94.55
ResNet-18	CT	95.81	96.6	94.9	95.77
	X-ray	98.97	98.2	99.79	98.98
ResNet50V2	CT	94.3	96.75	96.93	96.83
	X-ray	87	92	91	91
ResNet101V2	CT	88.92	91.03	91.19	91.1
	X-ray	79	87	87	87
ResNet152V2	CT	92.25	93.29	94.17	93.72
	X-ray	90	91	90	90
Rahimzadeh (2020)	X-ray	91.4	N/A	80.5	N/A
C. Zheng (2020)	CT	83.5	N/A	90.7	N/A
F. Shi (2020)	CT	87.9	N/A	90.7	N/A
L. Li (2020)	CT	N/A	N/A	90	N/A
Proposed CNN	CT	94.35	96.61	91.94	94.21
	X-ray	92.36	89.34	92.89	91.08
Proposed DFC (second method)	CT	98.9	99.36	98.5	98.92
	X-ray	99.3	99.79	98.8	99.3
Proposed DFC (first method)		96.13	94.37	97.04	95.69