TABLE II.

Quantitative Segmentation Results on the Pancreas Dataset. The Backbone Network of All Evaluated Methods Are V-Net

Method	# scans used		Metrics
	Labeled	Unlabeled	Dice[%]	Jaccard[%]	ASD[voxel]	95HD[voxel]
V-Net [7]	62	0	77.84	64.78	3.73	8.92
V-Net	12	0	62.42	48.06	4.77	22.34
MT [32]	12	50	71.29	56.69	2.82	16.31
DAN [15]	12	50	68.67	53.97	3.07	15.78
CPS [68]	12	50	69.28	54.02	3.07	15.34
Entropy Mini [69]	12	50	69.33	54.32	2.92	15.29
UA-MT [20]	12	50	72.43	57.91	4.25	11.01
ICT [70]	12	50	70.06	55.66	2.98	13.05
SASSNet [21]	12	50	70.47	55.74	4.26	10.95
DTC [23]	12	50	74.07	60.17	2.61	10.35
Chaitanya et al. [24]	12	50	70.79	55.76	6.08	15.35
SimCVD (ours)	12	50	75.39	61.56	2.33	9.84