Table 1.

Minimum, maximum, and mean values with a standard deviation of evaluation metrics for three models.

CNN Model	DSC			Jaccard index			Accuracy			Recall			Precision			Specificity
	min	max	Mean ±std	min	max	Mean ±std	min	max	Mean ±std	min	max	Mean ±std	min	max	Mean ±std	min	max	Mean ±std
SegNet	0.6492	0.8884	0.7651 ± 0.0401	0.4806	0.7992	0.6195 ± 0.0453	0.7524	0.9286	0.8455 ± 0.025	0.3261	0.7981	0.7486 ± 0.301	0.4813	0.8351	0.6519 ± 0.055	0.5824	0.8621	0.6891 ± 0.045
FCN	0.7106	0.9279	0.8386 ± 0.0342	0.5511	0.8654	0.7221 ± 0.0412	0.8627	0.9705	0.9193 ± 0.019	0.4568	0.9872	0.9649 ± 0.174	0.6013	0.8041	0.7238 ± 0.043	0.6871	0.8877	0.7891 ± 0.044
Mask R-CNN	0.7567	0.9958	0.8831 ± 0.0356	0.6086	0.9916	0.7907 ± 0.0401	0.8903	0.9981	0.9457 ± 0.018	0.509	0.9910	0.9681 ± 0.216	0.6321	0.8182	0.7937 ± 0.031	0.7056	0.9021	0.8157 ± 0.033