Table 5 Results on the Camelyon+ dataset with PLIP-extracted features.

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

Methods

Acc (%)

AUC (%)

F1 (%)

Recall (%)

Precision (%)

Kappa

PLIP3 (WSIs pre-trained)

Max-MIL

79.4 ± 2.49

78.2 ± 3.44

43.9 ± 1.87

47.3 ± 2.13

41.2 ± 2.01

0.61 ± 0.03

Mean-MIL

73.4 ± 6.31

75.4 ± 5.08

43.7 ± 2.48

43.6 ± 3.44

48.9 ± 3.82

0.50 ± 0.05

ABMIL19

81.8 ± 1.94

85.1 ± 4.15

53.1 ± 5.62

54.3 ± 4.08

55.0 ± 5.96

0.66 ± 0.03

Gate-ABMIL19

82.4 ± 0.98

84.5 ± 3.91

53.4 ± 1.57

54.7 ± 2.14

54.9 ± 1.68

0.67 ± 0.04

CLAM-SB25

81.9 ± 1.81

84.7 ± 4.43

52.0 ± 6.23

53.8 ± 4.15

51.8 ± 8.51

0.65 ± 0.04

CLAM-MB25

83.9 ± 0.78

87.2 ± 2.20

59.8 ± 3.83

60.4 ± 4.02

60.9 ± 3.33

0.67 ± 0.04

DSMIL34

81.9 ± 2.78

84.8 ± 3.58

54.3 ± 3.03

54.2 ± 2.74

56.1 ± 4.73

0.65 ± 0.02

TransMIL24

81.9 ± 1.57

86.3 ± 3.01

51.5 ± 7.23

54.1 ± 5.52

55.4 ± 10.71

0.65 ± 0.04

DTFD35

81.3 ± 2.22

84.2 ± 4.23

48.5 ± 4.74

51.4 ± 3.52

49.6 ± 6.55

0.66 ± 0.03

AMD-MIL33

84.9 ± 1.45

88.1 ± 2.90

57.7 ± 5.05

59.1 ± 4.34

58.9 ± 1.83

0.69 ± 0.03

WiKG36

82.3 ± 2.34

86.5 ± 4.16

57.8 ± 3.53

58.1 ± 3.31

59.4 ± 3.46

0.61 ± 0.08

FR-MIL37

84.6 ± 0.99

88.2 ± 3.33

61.7 ± 5.41

62.1 ± 5.62

63.9 ± 7.14

0.67 ± 0.05