Lesion Segmentation On Bus 2017 Dataset B
Métriques
Dice Score
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Dice Score | Paper Title | Repository |
|---|---|---|---|
| Attn U-Net + DL | 0.615 | A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation | |
| Attn U-Net + Multi-Input + FTL | 0.804 | A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation | |
| Salient Attention U-Net | 0.7341 | Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images | |
| U-Net + FTL | 0.669 | A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation |
0 of 4 row(s) selected.