Binary Classification on ISIC Overall 7 (full)
80.5AccuracyFT model
Evaluation results
| Method | Links | |
|---|---|---|
| FT modeln (number of cleansed samples)=20, Backbone=EfficientNet-B42026.03 | 80.5 | |
| Dyn. rectifyingn (number of cleansed samples)=10, Backbone=EfficientNet-B42026.03 | 80 | |
| FT modeln (number of cleansed samples)=10, Backbone=EfficientNet-B42026.03 | 79.5 | |
| A-ClArCn (number of cleansed samples)=20, Backbone=EfficientNet-B42026.03 | 79.5 | |
| Stat. rectifyingn (number of cleansed samples)=10, Backbone=EfficientNet-B42026.03 | 79.5 | |
| Benign modelBackbone=EfficientNet-B42026.03 | 79 |