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Table 8 ACA (%) of Different Frameworks for CCG Testing Set

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

  Patch-level Slice-level
  Normal Level I Level II Level III Ave. ACA Ave. ACA F-mea.
AlexNet [1] 91.75 42.24 69.88 70.91 68.70 50 41.67
VGG-16 [10] 97.80 63.65 71.25 78.39 77.77 75 66.67
ResNet-50 [12] 97.82 46.86 75.05 68.57 72.08 50 50
ResNet-101 [12] 96.64 67.34 75.57 58.66 74.55 50 41.67
DenseNet [13] 98.81 56.62 72.20 71.04 74.67 75 66.67
ADN (ours) 99.29 71.51 76.51 73.81 80.28 75 66.67
ADN+DRAL (ours) 99.95 80.35 85.31 82.60 87.05 100 100
  1. Best accuracy is in Bold