Table 9 4-Fold Cross Validation (%) of Different Frameworks on UCSB Dataset
From: Reverse active learning based atrous DenseNet for pathological image classification
Single FV descriptor | Combination of FV descriptors | ||||||
|---|---|---|---|---|---|---|---|
FV-SIFT | FV-DBN | FV-CNN | S+D | S+C | D+C | S+D+C | |
SVM | 87.9 | 82.8 | 96.6 | 86.2 | 93.1 | 91.4 | 93.1 |
SDR+SVM [26] | 89.7 | 89.7 | 98.3 | 91.4 | 94.8 | 96.6 | 94.8 |
ADN+DRAL (ours) | 100 | ||||||