Skip to main content

Table 3 Patch-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] 86.28 90.77 75.67 82.24 76.51 93.78
VGG-16 [10] 90.83 91.79 84.63 90.02 83.53 97.44
ResNet-50 [12] 89.65 92.17 79.88 82.31 78.74 96.82
ResNet-101 [12] 89.05 91.17 80.06 83.47 77.82 96.78
DenseNet [13] 90.39 93.29 77.87 84.41 78.93 96.79
ADN (ours) 91.93 94.10 85.48 92.05 85.69 97.63
  1. Best accuracy is in Bold.