Table 8 Performance comparison between a W-Net and a U-Net configured to have a comparable amount of weights.

From: State-of-the-art retinal vessel segmentation with minimalistic models

 

# Params

DRIVE

CHASE-DB

HRF

AUC

DICE

AUC

DICE

AUC

DICE

“Big” U-Net

76,213

98.00

82.53

98.29

81.09

98.15

80.73

Little W-Net

68,482

98.09

82.78

98.44

81.52

98.24

81.05

W-Net vs U-Net

\(-\) 7731

+0.09

p<0.05

+0.25

p<0.05

+0.15

p<0.05

+0.43

p<0.05

+0.09

p<0.05

+0.32

p<0.05

  1. W-Net achieves higher performance, despite having slightly less parameters. Statistically significant results marked bold.