Skin Lesion Classification on ISIC 2019 (Macro F1, Precision, Recall)
91.82Macro F1Ozdemir et. al
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Ozdemir et. al2026.04 | 91.82 | 93.24 | 90.7 | |
| MLP meta-classifierClassifier=MLP2026.04 | 88.34 | 88.09 | 88.69 | |
| MuRANetSource=Ghazouani et al. [24]2026.04 | 88 | — | — | |
| RF meta-classifierClassifier=Random Forest2026.04 | 86.11 | 82.95 | 90.03 | |
| ResAttentionNetSource=Ghazouani et al. [24]2026.04 | 82 | — | — | |
| S^2C-DeLeNetSource=Ghazouani et al. [24]2026.04 | 81 | — | — | |
| X-R50Source=Ghazouani et al. [24]2026.04 | 81 | — | — | |
| ARL-CNNSource=Ghazouani et al. [24]2026.04 | 80 | — | — | |
| IAROSource=Ghazouani et al. [24]2026.04 | 78 | — | — | |
| Soft Attention CNNSource=Ghazouani et al. [24]2026.04 | 77 | — | — |