Volumetric Medical Image Segmentation On
Metriken
Dice Score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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 |
0 of 2 row(s) selected.