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Table 3 Cross validation on DRIVE(R) and STARE datasets.(%)

From: Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation

Dataset

DRIVE(R)

STARE(VK)

Group

Method

F1

PR

F1

PR

\(\mathrm {LV}\)-1

U-Net

68.5

75.6

70.3

78.6

Cas

36.0

36.0

70.8

74.8

SF

65.0

71.2

72.2

80.2

Ours

73.9

81.2

74.5

82.3

\(\mathrm {LV}\)-2

U-Net

68.7

74.6

70.1

77.3

Cas

47.0

48.5

72.4

79.8

SF

66.7

72.6

70.9

78.3

Ours

71.8

79.0

73.0

79.9

\(\mathrm {LV}\)-3

U-Net

49.0

46.1

67.0

74.7

Cas

50.0

54.5

70.5

77.9

SF

67.8

73.5

68.7

76.4

Ours

70.2

76.4

70.5

78.4

Pseudo

U-Net

57.4

62.7

72.2

78.1

Cas

49.6

52.2

76.9

83.5

SF

70.9

76.9

74.7

81.1

Ours

76.3

84.4

77.8

85.7

Manual

U-Net

55.3

59.7

70.6

77.3

Cas

61.9

68.3

75.5

82.0

SF

65.9

71.3

74.9

82.7

Ours

71.4

78.6

77.1

83.6

  1. The values with bold denote the best performance in each group