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Table 4 Segmentation results of different UDA methods in the cross-center test scenario

From: HCA-DAN: hierarchical class-aware domain adaptive network for gastric tumor segmentation in 3D CT images

Training

Test

Method

DSC

JI

ASD

95HD

{D1, D2, D3}

D4

AsTr (Ours)

60.62

46.88

8.13

25.80

UDA1

59.17

45.36

8.65

26.31

UDA2

59.80

46.01

8.42

24.95

UDA3

61.45

47.32

8.97

25.46

HCA-DAN (Ours)

62.20

47.98

7.55

22.63

{D1, D2, D4}

D3

AsTr (Ours)

46.54

33.61

10.97

30.92

UDA1

44.95

32.06

13.17

35.60

UDA2

45.52

32.75

12.50

33.26

UDA3

47.96

35.58

11.42

34.67

HCA-DAN (Ours)

49.25

36.86

10.87

31.68

{D1, D3, D4}

D2

AsTr (Ours)

55.94

42.15

10.50

24.52

UDA1

54.63

40.91

12.88

29.50

UDA2

53.86

39.99

15.80

32.49

UDA3

55.38

41.97

12.42

28.72

HCA-DAN (Ours)

56.72

43.39

11.05

26.39

{D2, D3, D4}

D1

AsTr (Ours)

56.42

43.14

8.68

23.29

UDA1

55.95

42.61

9.15

26.33

UDA2

56.87

43.63

7.32

21.75

UDA3

56.24

42.97

8.20

25.41

HCA-DAN (Ours)

58.36

45.18

6.91

20.64