3D Instance Segmentation on MitoEM
| Rank | Model | AP75-R-Val | AP75-H-Val | AP75-R-Test | AP75-H-Test | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|
| 1 | Res-UNet-R/H | 0.917 | 0.828 | 0.851 | 0.829 | Advanced Deep Networks for 3D Mitochondria Instance Segmentation | Limingxing00/MitoEM2021-Challenge | 2021 |
| 2 | Unet3D | – | – | 0.816 | 0.804 | MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images | zudi-lin/pytorch_connectomics | 2020 |
| 3 | Res-UNet-R/H | 0.917 | 0.828 | 0.851 | 0.829 | Advanced Deep Networks for 3D Mitochondria Instance Segmentation | Limingxing00/MitoEM2021-Challenge | 2021 |
| 4 | Unet3D | – | – | 0.816 | 0.804 | MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images | zudi-lin/pytorch_connectomics | 2020 |