Semi Supervised Medical Image Segmentation On 6
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Dice Score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Dice Score | Paper Title | Repository |
|---|---|---|---|
| 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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