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Table 2 Comparative results of prediction on testing set.(%)

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

Dataset

DRIVE(R)

STARE(VK)

CHASE

Group

Method

F1

PR

F1

PR

F1

PR

\(\mathrm {LV}\)-1

U-Net

73.9

82.9

79.6

87.4

77.4

85.8

Cas

73.6

81.9

75.1

82.1

73.4

80.7

SF

76.3

84.9

80.4

88.2

76.5

84.7

Ours

76.8

85.5

81.3

88.9

77.5

85.3

\(\mathrm {LV}\)-2

U-Net

74.5

81.3

79.1

87.3

70.7

78.4

Cas

73.4

82.0

74.4

82.0

73.1

80.5

SF

73.7

82.4

80.0

87.6

75.3

82.9

Ours

75.9

84.8

80.8

88.1

75.9

83.4

\(\mathrm {LV}\)-3

U-Net

72.3

81.4

78.6

86.4

70.1

77.0

Cas

72.2

80.2

69.7

76.1

69.9

76.6

SF

72.0

80.3

76.9

85.3

74.4

81.5

Ours

75.7

84.3

79.2

87.0

74.8

82.8

Pseudo

U-Net

78.1

86.5

80.1

88.3

/

/

Cas

74.0

82.2

75.8

83.8

/

/

SF

78.5

87.0

80.3

88.5

/

/

Ours

78.7

87.2

80.6

88.6

/

/

Manual

U-Net

80.2

88.7

80.0

87.9

77.7

85.0

Cas

76.5

85.1

73.8

81.1

73.9

81.0

SF

80.9

89.5

81.3

88.7

79.4

87.2

Ours

81.3

89.8

82.0

89.1

80.0

88.0

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