Volumetric Medical Image Segmentation On
Metrics
Dice Score
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| 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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