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 |