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. Author manuscript; available in PMC: 2020 Dec 23.
Published in final edited form as: Med Image Comput Comput Assist Interv. 2020 Sep 29;12262:347–358. doi: 10.1007/978-3-030-59713-9_34

Table 2:

Overall segmentation accuracy on CHAOS dataset (In-Phase). Liver-LV, Spleen-SP, Left kidney-LK, Right kidney-RK.

Method T1w T2W
LV SP LK RK Avg LV Sp LK RK Avg
MRI supervised 0.91 0.86 0.82 0.83 0.86 0.92 0.87 0.91 0.90 0.90
CT only 0.00 0.00 0.00 0.00 0.00 0.01 0.08 0.29 0.22 0.15
CycleGAN[6] 0.82 0.83 0.63 0.61 0.72 0.86 0.75 0.88 0.87 0.84
UNIT[28] 0.89 0.81 0.64 0.62 0.74 0.87 0.76 0.91 0.88 0.86
CycaDA[13] 0.85 0.73 0.71 0.70 0.75 0.88 0.68 0.86 0.86 0.82
SynSeg[3] 0.89 0.85 0.73 0.70 0.79 0.88 0.77 0.89 0.85 0.85
SIFA[29] 0.90 0.85 0.77 0.78 0.83 0.89 0.77 0.90 0.89 0.86
StarGAN[17] 0.76 0.60 0.56 0.67 0.65 0.83 0.69 0.69 0.73 0.74
DRIT++[22] 0.83 0.63 0.61 0.66 0.68 0.73 0.81 0.81 0.82 0.79
Proposed − Ds 0.89 0.79 0.74 0.73 0.79 0.87 0.86 0.91 0.89 0.88
Proposed + Ds 0.90 0.84 0.81 0.83 0.85 0.90 0.89 0.92 0.90 0.90