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Semi Supervised Medical Image Segmentation On 6
Métriques
Dice Score
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| AIM++ (256x256, 1.5m parameters, 10% labeled data, no pretraining) | 0.85 | Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs |
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