Table 1.

Comparison of quantitative results on simulated vessel dataset. Bold indicates the best results.

Metrics	PSNR			SSIM
Datasets	Sparse32	Sparse64	Sparse128	Sparse32	Sparse64	Sparse128
UNet [22]	29.023	30.586	34.026	0.86789	0.91797	0.96116
GAN [37]	28.739	29.350	31.762	0.82548	0.86899	0.90962
Attention Unet [38]	28.475	28.340	30.111	0.80224	0.86472	0.90349
Trans Unet [39]	28.375	29.712	31.025	0.79425	0.88318	0.91928
Res Unet [40]	28.217	29.473	33.059	0.80411	0.88346	0.92714
Uformer [41]	28.987	31.454	36.402	0.85123	0.91593	0.94815
ADN [28]	29.113	30.331	30.693	0.81971	0.84856	0.88556
Ours	25.340	32.104	38.607	0.89437	0.94104	0.96651