Volumetric Medical Image Segmentation On
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Dice Score
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이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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