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Table 4 Slice-level Validation ACA (%) of CNN Models Trained on The Original/Refined Training Sets

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

 

BACH

CCG

UCSB

 

original

refined

original

refined

original

refined

AlexNet [1]

86.25

91.25

50

75

80

90

VGG-16 [10]

87.50

96.25

75

75

90

100

ResNet-50 [12]

86.25

93.75

75

75

80

100

ResNet-101 [12]

86.25

91.25

75

75

80

90

DenseNet [13]

86.25

96.25

50

75

80

90

ADN (ours)

88.75

97.50

75

100

90

100

  1. Best accuracy is in Bold.