Table 14.

WCNN model versus state of art models

Research	Type of CNN	Public/ Private	Patient/ Image	Data augmentation	Image Resizing	ACC	Sen	Sp
[6]	Trans-CNN	Public	Image	True	True	0.9673	0.9776	0.9602
[41]	COVID-CT-Mask-Net	Public	Image	False	False	0.9166	0.9080	0.9162
[35]	Hybrid Model (queezeNet e ShuffleNet)	Public	Image	True	True	0.9781	0.9615	0.9608
[32]	FusionModel (VGG-16, GoogleNet e ResNet-50)	Public	Image	False	False	0.9827	0.9893	0.9760
[18]	VGG16, DeseNet121, MobileNet, NASNet, Xception, and EfficientNet	Public	Image	True	True	0.9768	0.9579	0.9971
[3]	UNet++	Private	Image	False	False	0.9885	0.9434	0.9916
[4]	COVID-19-CNN	Public	Image	False	True	0.9670	0.9780	0.9556
Our model	WCNN	Both	Patient	False	False	0.9819	0.9783	0.9867