Table 2.

Statistical segmentation quality measurement by using COVID-SVR Data of the proposed against active contour [49], GraphCut [50], ResNet [51], Gated-UNet [60], Dense UNet [61], Robust Threshold [52], [53], and Tunable Weka [54]. The best results are shown in red.

Segmentation methods	Quality measurements
	Dice (SDC) ↑	Jaccard ↑	Hausdorff ↓
Proposed	0.49	0.46	5.62
Active Contour [49]	0.30	0.32	17.77
GraphCut [50]	0.29	0.29	18.64
ResNet [51]	0.33	0.31	27
Robust Threshold [52], [53]	0.28	0.34	15.81
Gated-UNet [60]	0.44	–	–
Dense-UNet [61]	0.41	–	–
Tunable Weka [54]	0.51	0.43	9.68