Detecting COVID-19 in Chest X-Ray Images via MCFF-Net

Table 3

Accuracy comparison of our proposed method with other existing deep learning methods.

Study	Architecture	Accuracy 4-class (%)	Number of images	# of parameters (in millions)
Khan et al. [17]	CoroNet	89.60	284, 327, 330, 310	33
Hussain et al. [19]	CoroDet	91.20	500, 400, 400, 800	N/A
Mangal et al. [34]	CovidAID	87.20	115, 1337, 2530, 1341	N/A
Joshi et al. [35]	DarkNet-53	76.46	659, 1493, 2772, 1660	N/A
Proposed method	MCFF-Net	94.66	800, 1600, 1600, 1300	45.78