Multiple Instance Learning On Camelyon16
Metrics
ACC
AUC
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | ACC | AUC |
|---|---|---|
| dual-stream-multiple-instance-learning | 0.8682 | 0.8944 |
| snuffy-efficient-whole-slide-image-classifier | 0.948 | 0.987 |
| camil-context-aware-multiple-instance | 0.917 | 0.959 |
| dgmil-distribution-guided-multiple-instance | 0.8018 | 0.8368 |
| transmil-transformer-based-correlated | 0.8837 | 0.9309 |
| dual-stream-multiple-instance-learning | 0.8992 | 0.9165 |
| dtfd-mil-double-tier-feature-distillation | 0.908 | 0.946 |
| dtfd-mil-double-tier-feature-distillation | 0.864 | 0.907 |
| snuffy-efficient-whole-slide-image-classifier | 0.900 | 0.910 |
| camil-context-aware-multiple-instance | 0.891 | 0.95 |
| snuffy-efficient-whole-slide-image-classifier | 0.952 | 0.970 |
| camil-context-aware-multiple-instance | 0.91 | 0.953 |
| dtfd-mil-double-tier-feature-distillation | 0.897 | 0.945 |
| dtfd-mil-double-tier-feature-distillation | 0.899 | 0.941 |