Classification on BMIRDS-LUAD
95.89AccuracyProposed (Ours)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Proposed (Ours)components=attention-weighted aggregation mechanism, contrastive loss, Perturbation Fidelity scoring2026.02 | 95.89 | 93.3 | — | |
| Unsupervisedre-implemented=true2026.02 | 94.6 | 91.8 | 0.042 | |
| DeepSlidere-implemented=true2026.02 | 90.4 | 87.1 | 0.001 | |
| Independent ResNet101re-implemented=true, backbone=ResNet1012026.02 | 79.5 | 75.2 | 0.001 |