Brain Tumor Segmentation On Brats 2019
Métriques
ET
TC
WT
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | ET | TC | WT | Paper Title | Repository |
|---|---|---|---|---|---|
| Bag of tricks | 0.729 | 0.802 | 0.895 | Medical Image Segmentation Using Squeeze-and-Expansion Transformers | |
| Segtran (i3d) | - | 0.817 | - | Medical Image Segmentation Using Squeeze-and-Expansion Transformers | |
| Residual 3D U-Net ET | - | - | - | TransBTS: Multimodal Brain Tumor Segmentation Using Transformer | |
| Extension of nnU-Net | 0.740 | 0.807 | 0.894 | Medical Image Segmentation Using Squeeze-and-Expansion Transformers | |
| 3D U-Net [6] ET | - | - | - | TransBTS: Multimodal Brain Tumor Segmentation Using Transformer |
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