Brain Tumor Segmentation On Brats 2015
Metriken
Dice Score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Dice Score | Paper Title | Repository |
|---|---|---|---|
| AFN-6 | 84% | Autofocus Layer for Semantic Segmentation | |
| 3D CNN + CRF | 85.0% | Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation | |
| OM-Net + CGAp | 87% | One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation | |
| CNN + 3D filters | 85.0% | CNN-based Segmentation of Medical Imaging Data |
0 of 4 row(s) selected.