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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.