BMC Medical Imaging

Table 4 Statistical results for the binary segmentor

From: COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet

Net.	Sens.	Spec.	Dice	G-mean	F2
SegNet	0.956	0.9542	0.749	0.955	0.861
U-NET	0.964	0.948	0.733	0.956	0.856

Bold values indicate the highest number of a comparable set
SegNet and U-NET binary segmentation tools results is terms of sensitivity, specificity, dice, G-mean, and F2 score

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