From: Reverse active learning based atrous DenseNet for pathological image classification
BACH | CCG | UCSB | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Nor. | Ben. | C. in situ | I. car. | Nor. | L. I | L. II | L. III | Ben. | Mal. | |
AlexNet [1] | 92.13 | 90.18 | 89.52 | 91.25 | 95.16 | 93.68 | 95.82 | 42.43 | 94.81 | 92.75 |
VGG-16 [10] | 90.96 | 93.84 | 89.46 | 92.89 | 98.71 | 96.36 | 98.06 | 65.61 | 98.32 | 96.58 |
ResNet-50 [12] | 92.29 | 94.50 | 92.29 | 91.61 | 87.54 | 99.10 | 92.87 | 50.32 | 97.48 | 96.16 |
ResNet-101 [12] | 91.96 | 89.20 | 90.66 | 92.88 | 85.46 | 98.32 | 99.88 | 50.45 | 98.07 | 95.49 |
DenseNet [13] | 94.61 | 91.50 | 95.73 | 93.82 | 92.04 | 98.05 | 96.97 | 50.08 | 96.97 | 96.60 |
ADN (ours) | 96.30 | 92.36 | 93.50 | 94.23 | 99.18 | 97.70 | 99.52 | 70.68 | 98.54 | 96.73 |