Table 1.

The results of liver segmentation on the 3DIRCADb data set. The best results are shown in bold.

Model	DC	VOE	RVD	ASSD	HD
Li et al. (2015)	-	9.15 (±1.44)	-0.07 (±3.64)	1.55 (±0.39)	3.15 (±0.98)
Lu et al. (2017)	-	9.36 (±3.34)	0.97 (±3.26)	1.89 (±1.08)	4.15 (±3.16)
MRFNet (Liu et al., 2020d)	97.75 (±0.80)	3.31 (±0.95)	0.31 (±1.38)	0.32 (±0.16)	2.19 (±5.16)
H-DenseUNet (Li et al., 2018)	98.20 (±1.00)	3.57 (±1.66)	0.01 (±0.02)	1.28 (±2.02)	3.58 (±6.58)
MedT (Valanarasu et al., 2021)	97.76 (±0.71)	2.61 (±0.86)	0.14 (±0.06)	1.03 (±1.69)	2.83 (±5.90)
TransUNet (Chen et al., 2021)	98.43 (±1.08)	2.29 (±0.97)	0.01 (±0.14)	1.48 (±1.98)	3.58 (±6.58)
LLRHNet	98.64 (±0.92)	3.13 (±1.87)	0.01 (±0.06)	0.28 (±1.20)	2.03 (±4.89)