Table 4.

Comparison results for the proposed method and other methods without data augmentation on the testing dataset.

	Dice coefficient		Mean distance		Jaccard		Sensitivity		Precision		ASSD
	Mean±std	p-value	Mean± std	p-value	Mean± std	p-value	Mean±std	p-value	Mean± std	p-value	Mean±std	p-value
FCNN	0.8020±0.1037	3.1e–27	9.6083±4.8746	4.1e–26	0.6806±0.1316	1.4e–27	0.7614±0.1404	1.1e–25	0.8690±0.1118	1.7e–15	9.9992±5.4128	1.2e–27
Deeplab	0.8724±0.0639	8.4e–26	6.2596±2.9087	2.0e–21	0.7788±0.0899	7.1e–26	0.8759±0.1002	3.2e–12	0.8829±0.0788	2.9e–19	6.3022±3.1650	8.8e–25
SegNet	0.8894±0.0619	2.9e–20	7.3921±6.1747	2.2e–23	0.8061± 0.0949	1.6e–20	0.8809±0.0917	5.4e–9	0.9080±0.0814	2.3e–10	6.1979±4.6609	4.8e–21
Unet	0.8899±0.0578	1.7e–20	7.5227±4.1757	8.8e–26	0.8062±0.0883	1.2e–20	0.8780±0.0900	4.7e–12	0.9121±0.0745	5.8e–09	6.2147±3.3764	7.9e–24
PSPnet	0.8869±0.0548	2.0e–22	7.2514±4.0461	3.2e–23	0.8008±0.0828	1.0e–22	0.8818±0.0885	6.1e–10	0.9027±0.0741	4.4e–16	6.0621±3.0109	4.7e–22
Deeplabv3+	0.8965±0.0698	2.4e–13	6.4669±3.8065	1.9e–18	0.8187±0.1014	2.0e–13	0.8643±0.1100	9.6e–13	0.9424±0.0474	-	5.3100±2.9109	5.7e–16
Bnet	0.9303±0.0499	-	3.6130±2.3447	-	0.8729±0.0708	-	0.9220±0.0690	-	0.9442±0.0482	-	3.4792±1.9618	-