Skip to main content

Table 5 Patch-level ACA (%) for Different Categories of Different Datasets

From: Reverse active learning based atrous DenseNet for pathological image classification

 

BACH

CCG

UCSB

 

Nor.

Ben.

C. in situ

I. car.

Nor.

L. I

L. II

L. III

Ben.

Mal.

AlexNet [1]

92.13

90.18

89.52

91.25

95.16

93.68

95.82

42.43

94.81

92.75

VGG-16 [10]

90.96

93.84

89.46

92.89

98.71

96.36

98.06

65.61

98.32

96.58

ResNet-50 [12]

92.29

94.50

92.29

91.61

87.54

99.10

92.87

50.32

97.48

96.16

ResNet-101 [12]

91.96

89.20

90.66

92.88

85.46

98.32

99.88

50.45

98.07

95.49

DenseNet [13]

94.61

91.50

95.73

93.82

92.04

98.05

96.97

50.08

96.97

96.60

ADN (ours)

96.30

92.36

93.50

94.23

99.18

97.70

99.52

70.68

98.54

96.73

  1. Best accuracy is in Bold.