Table 8 Results on the Camelyon+ dataset with Ctranspath-extracted features.

From: Comprehensive Benchmark Dataset for Pathological Lymph Node Metastasis in Breast Cancer Sections

Methods

Acc (%)

AUC (%)

F1 (%)

Recall (%)

Precision (%)

Kappa

Ctranspath6 (WSIs pre-trained)

Max-MIL

83.9 ± 2.34

87.1 ± 4.75

57.2 ± 3.55

57.2 ± 3.12

58.6 ± 2.81

0.63 ± 0.06

Mean-MIL

75.8 ± 2.56

78.6 ± 4.28

44.3 ± 4.14

43.9 ± 4.47

46.3 ± 4.96

0.52 ± 0.05

ABMIL19

84.3 ± 1.09

88.3 ± 4.47

60.3 ± 2.48

60.4 ± 2.05

65.7 ± 9.03

0.68 ± 0.03

Gate-ABMIL19

84.1 ± 1.99

88.4 ± 4.26

57.6 ± 3.69

56.4 ± 3.20

58.0 ± 3.14

0.68 ± 0.04

CLAM-SB25

84.4 ± 2.14

88.6 ± 3.40

58.8 ± 2.51

57.8 ± 2.20

57.7 ± 2.85

0.68 ± 0.03

CLAM-MB25

87.4 ± 1.38

89.6 ± 3.84

65.6 ± 5.08

65.2 ± 5.53

66.1 ± 7.02

0.72 ± 0.03

DSMIL34

84.8 ± 2.18

85.7 ± 4.83

59.0 ± 3.49

59.1 ± 2.81

60.1 ± 2.19

0.65 ± 0.06

TransMIL24

85.3 ± 3.28

89.5 ± 3.42

60.7 ± 9.28

58.9 ± 12.26

60.8 ± 15.92

0.71 ± 0.05

DTFD35

83.9 ± 2.68

86.7 ± 5.76

56.7 ± 6.00

55.3 ± 6.22

56.5 ± 4.28

0.68 ± 0.04

AMD-MIL33

85.9 ± 2.30

89.4 ± 3.69

63.8 ± 4.96

63.7 ± 5.09

64.8 ± 6.67

0.68 ± 0.08

WiKG36

85.6 ± 2.21

89.1 ± 2.22

59.9 ± 3.34

59.6 ± 3.21

60.3 ± 2.93

0.67 ± 0.06

FR-MIL37

84.7 ± 2.45

88.2 ± 3.86

61.3 ± 1.81

61.4 ± 2.35

62.0 ± 1.69

0.63 ± 0.06