Table 5.

Comparison results for the proposed method and other methods with 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	0.9179±0.0471	4.8e–17	4.2072±2.4922	4.2e–16	0.8514±0.0731	2.4e–17	0.9221±0.0730	4.8e–06	0.9207±0.0622	6.0e–10	4.1182±2.3157	1.5e–16
Deeplab	0.9236±0.0370	1.9e–18	3.7369±1.8737	4.5e–14	0.8601±0.0603	1.3e–18	0.9175±0.0584	3.0e–15	0.9344±0.0528	1.9e–03	3.7779±1.8596	1.6e–16
SegNet	0.9298±0.0409	2.3e–11	4.0753±6.4316	3.6e–10	0.8713±0.0651	1.6e–11	0.9311±0.0542	2.1e–05	0.9330±0.0600	2.0e–04	3.8450±4.9187	8.9e–10
Unet	0.9245±0.0403	2.7e–14	4.0987±2.5463	5.8e–14	0.8620±0.0650	2.6e–14	0.9132±0.0621	3.3e–13	0.9423±0.0614	4.3e–02	3.8643±2.1498	1.1e–14
PSPnet	0.9372±0.0305	1.8e–05	3.3055±2.0240	2.7e–04	0.8837±0.0580	3.4e–04	0.9491±0.0440	-	0.9292±0.0577	1.0e–09	3.1471 ± 1.6704	1.7e–03
DeeplabV3+	0.9311±0.0354	2.8e–08	3.5080±2.2860	5.0e–05	0.8732±0.0610	1.7e–05	0.9307±0.0517	1.6e–05	0.9369±0.0612	2.1e–03	3.1837±1.9855	8.1e–05
Bnet	0.9427±0.0453	-	2.9189±1.9823	-	0.8943±0.0663		0.9439±0.0645		0.9458±0.0413	-	2.8701±1.8671