Volumetric Medical Image Segmentation On
Metrics
Dice Score
Results
Performance results of various models on this benchmark
Model Name | Dice Score | Paper Title | Repository |
|---|---|---|---|
| V-Net + Dice-based loss | 0.869 | V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation | - |
| Fully-connected CRF | 0.780 | Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation | - |
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