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Brain Tumor Segmentation On Brats 2015
Metrics
Dice Score
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| OM-Net + CGAp | 87% | One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation | |
| 3D CNN + CRF | 85.0% | Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation | |
| CNN + 3D filters | 85.0% | CNN-based Segmentation of Medical Imaging Data | |
| AFN-6 | 84% | Autofocus Layer for Semantic Segmentation |
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