Table 5 Performance comparison of the BraTS 2023 and BraTS 2024 datasets, reported as (Mean ± Standard Deviation) from 5-fold cross-validation.

From: SwinCLNet: a robust framework for brain tumor segmentation via shifted window attention and cross-scale fusion

Methods

Dice score (%, \(\uparrow\))

HD95 (mm, \(\downarrow\))

WT

TC

ET

Mean

WT

TC

ET

Mean

Performance of BraTS 2023

3D-U-Net1

88.15 ± 2.5

79.30 ± 4.1

74.21 ± 5.8

80.55 ± 4.1

7.42 ± 3.2

10.15 ± 4.4

26.11 ± 9.3

14.56 ± 5.6

R2-U-Net42

88.63 ± 2.4

80.95 ± 3.7

77.25 ± 5.3

82.28 ± 3.8

7.25 ± 3.0

10.05 ± 4.2

24.82 ± 9.0

14.04 ± 5.4

Attention-U-Net43

88.70 ± 2.3

82.00 ± 3.3

78.51 ± 5.0

83.07 ± 3.5

6.40 ± 2.6

9.98 ± 4.0

23.50 ± 8.7

13.29 ± 5.1

TransBTS44

88.91 ± 2.2

80.98 ± 3.6

77.28 ± 5.2

82.39 ± 3.7

11.65 ± 4.6

10.50 ± 4.9

26.22 ± 9.4

16.12 ± 6.3

nnU-Net2

91.90 ± 1.3

86.15 ± 2.2

79.98 ± 4.3

86.01 ± 2.6

5.05 ± 1.9

10.20 ± 3.7

21.85 ± 7.4

12.37 ± 4.3

VT-UNet45

92.03 ± 1.2

87.72 ± 2.0

80.90 ± 4.0

86.88 ± 2.4

4.81 ± 1.8

8.80 ± 3.3

20.53 ± 7.0

11.38 ± 4.0

Swin UNETR46

91.96 ± 1.3

87.45 ± 2.1

80.29 ± 4.2

86.57 ± 2.5

5.15 ± 1.8

9.75 ± 3.5

22.25 ± 7.7

12.38 ± 4.3

SegMamba47

91.65 ± 1.4

87.00 ± 2.2

80.01 ± 4.4

86.22 ± 2.7

5.50 ± 2.0

10.10 ± 3.6

22.80 ± 8.0

12.80 ± 4.5

MedNeXt-M28

92.35 ± 1.1

88.10 ± 1.9

81.45 ± 3.8

87.30 ± 2.3

4.75 ± 1.7

8.70 ± 3.1

19.95 ± 6.9

11.13 ± 3.9

SwinCLNet (Proposed)

93.05 ± 0.9

89.51 ± 1.6

82.37 ± 3.4

88.31 ± 2.0

4.45 ± 1.3

5.75 ± 2.2

16.65 ± 5.8

8.95 ± 3.1

Performance of BraTS 2024

3D-U-Net1

87.40 ± 2.7

78.45 ± 4.3

72.88 ± 6.1

79.58 ± 4.4

8.15 ± 3.4

11.05 ± 4.7

27.90 ± 10.0

15.70 ± 6.0

R2-U-Net42

88.11 ± 2.6

80.32 ± 3.9

76.35 ± 5.6

81.59 ± 4.0

7.78 ± 3.2

10.70 ± 4.5

25.95 ± 9.3

14.81 ± 5.7

Attention-U-Net43

88.23 ± 2.5

81.40 ± 3.5

77.59 ± 5.3

82.41 ± 3.8

6.90 ± 2.9

10.60 ± 4.4

24.55 ± 9.0

14.02 ± 5.4

TransBTS44

88.40 ± 2.4

80.33 ± 3.8

76.25 ± 5.4

81.66 ± 3.9

12.15 ± 4.9

11.10 ± 5.0

27.35 ± 9.7

16.87 ± 6.5

nnU-Net2

91.50 ± 1.4

85.52 ± 2.4

79.00 ± 4.6

85.34 ± 2.8

5.50 ± 2.0

10.80 ± 4.0

23.25 ± 8.0

13.18 ± 4.7

VT-UNet45

91.55 ± 1.3

87.00 ± 2.2

80.11 ± 4.3

86.22 ± 2.6

5.18 ± 1.9

9.40 ± 3.6

21.95 ± 7.4

12.18 ± 4.3

Swin UNETR46

91.46 ± 1.4

86.73 ± 2.3

79.48 ± 4.5

85.89 ± 2.7

5.47 ± 1.9

10.35 ± 3.8

23.60 ± 8.1

13.14 ± 4.6

SegMamba47

91.05 ± 1.5

86.28 ± 2.4

79.15 ± 4.7

85.49 ± 2.9

5.80 ± 2.1

10.70 ± 3.9

24.20 ± 8.3

13.57 ± 4.8

MedNeXt-M28

92.10 ± 1.2

87.85 ± 2.0

81.05 ± 4.0

87.00 ± 2.4

4.95 ± 1.8

8.95 ± 3.3

20.40 ± 7.1

11.43 ± 4.1

SwinCLNet (Proposed)

92.80 ± 1.0

88.98 ± 1.7

81.67 ± 3.7

87.82 ± 2.1

4.75 ± 1.4

6.40 ± 2.4

17.98 ± 6.1

9.71 ± 3.3

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