3D Hierarchical Segmentation on Biologically inspired 3D synthetic dataset Regular variant (test)
98.9Dice Score (Level 1)Zhao et al
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Zhao et alSupervision Type=Semi-supervised2023.04 | 98.9 | 65.5 | 35.7 | |
| OursSupervision Type=Unsupervised2023.04 | 98.6 | 57.7 | 39.7 | |
| Çiçek et alSupervision Type=Semi-supervised2023.04 | 96.8 | 82.9 | 66.8 | |
| Hsu et alSupervision Type=Unsupervised2023.04 | 95.2 | 54.1 | 21.6 | |
| BM4D+k-meansSupervision Type=Non-DL2023.04 | 94.9 | 52.9 | 33.5 | |
| k-meansSupervision Type=Non-DL2023.04 | 80.8 | 32.6 | 14.9 | |
| Moriya et alSupervision Type=Unsupervised2023.04 | 62.8 | 31.1 | 14.1 | |
| Ji et alSupervision Type=Unsupervised2023.04 | 58.9 | 29.1 | 15 | |
| Nalepa et alSupervision Type=Unsupervised2023.04 | 53 | 27.6 | 11.2 |