Segmentation Comparison Figures

Image

GT

crop1

crop2

Proposed

Proposed

crop1

crop2

Dice: 0.8142 β₀ error: 11.0000

DconnNet

DconnNet

crop1

crop2

Dice: 0.7821 β₀ error: 513.0000

U-Net

U-Net

crop1

crop2

Dice: 0.7710 β₀ error: 502.0000

Attention U-Net

Attention U-Net

crop1

crop2

Dice: 0.7634 β₀ error: 500.0000

FR-UNet

FR-UNet

crop1

crop2

Dice: 0.7531 β₀ error: 524.0000

CS-Net

CS-Net

crop1

crop2

Dice: 0.7434 β₀ error: 529.0000

V-GAN

V-GAN

crop1

crop2

Dice: 0.8179 β₀ error: 357.0000

SegDiff

SegDiff

crop1

crop2

Dice: 0.6709 β₀ error: 406.0000

MedSegDiff

MedSegDiff

crop1

crop2

Dice: 0.7576 β₀ error: 60.0000

clDice

clDice

crop1

crop2

Dice: 0.6810 β₀ error: 543.0000

CAPE

CAPE

crop1

crop2

Dice: 0.7239 β₀ error: 379.0000

Image

GT

crop1

crop2

Proposed

Proposed

crop1

crop2

Dice: 0.9701 β₀ error: 0.0000

DconnNet

DconnNet

crop1

crop2

Dice: 0.9591 β₀ error: 0.0000

U-Net

U-Net

crop1

crop2

Dice: 0.8513 β₀ error: 1.0000

Attention U-Net

Attention U-Net

crop1

crop2

Dice: 0.9638 β₀ error: 0.0000

FR-UNet

FR-UNet

crop1

crop2

Dice: 0.3539 β₀ error: 10.0000

CS-Net

CS-Net

crop1

crop2

Dice: 0.9660 β₀ error: 0.0000

V-GAN

V-GAN

crop1

crop2

Dice: 0.8969 β₀ error: 0.0000

SegDiff

SegDiff

crop1

crop2

Dice: 0.9168 β₀ error: 0.0000

MedSegDiff

MedSegDiff

crop1

crop2

Dice: 0.9062 β₀ error: 0.0000

clDice

clDice

crop1

crop2

Dice: 0.9702 β₀ error: 0.0000

CAPE

CAPE

crop1

crop2

Dice: 0.9492 β₀ error: 0.0000