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Table 2 Patch-level ACA (P. ACA, %) of RN on Validation Sets during Different Iterations of DRAL

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

DRAL (Iteration number K) BACH CCG UCSB
  Training set P. ACA Training set P. ACA Training set P. ACA
trained with original training set (K=0) 89,600 89.16 362,832 77.87 68,640 76.40
K=1 89,026 89.58 361,007 83.88 64,944 94.24
K=2 88,170 89.71 360,563 82.88 64,200 93.23
K=3 87,363 92.81 - - - -
K=4 86,858 92.14 - - - -