Table 4. Ablation study of our proposed GRA module and CML training strategy on the DME dataset.
Training | Designs | Metrics | |||||
---|---|---|---|---|---|---|---|
| |||||||
Labeled | Unlabeled | GRA | CML | DSC(%)↑ | Jaccard(%)↑ | 95HD(voxel)↓ | ASD(voxel)↓ |
| |||||||
4(10%) | 36(90%) | 75.90 ± 6.13 | 61.36 ± 6.41 | 7.81 ± 5.51 | 2.87 ± 1.89 | ||
√ | 83.64 ± 3.22 | 72.45 ± 3.43 | 4.56 ± 1.57 | 1.55 ± 1.32 | |||
√ | 86.36 ± 1.24 | 75.80 ± 1.69 | 2.41 ± 0.83 | 0.93 ± 0.34 | |||
√ | √ | 87.50 ± 0.91 | 77.79 ± 1.43 | 2.77 ± 1.35 | 0.79 ± 0.38 | ||
| |||||||
10(25%) | 30(75%) | 83.13 ± 4.42 | 70.79 ± 5.29 | 5.34 ± 3.44 | 1.54 ± 1.21 | ||
√ | 85.62 ± 1.53 | 74.78 ± 1.86 | 2.67 ± 0.35 | 0.79 ± 0.37 | |||
√ | 88.36 ± 1.41 | 79.29 ± 1.53 | 1.74 ± 0.32 | 0.68 ± 0.29 | |||
√ | √ | 91.04 ± 0.24 | 81.93 ± 0.24 | 1.38 ± 0.29 | 0.56 ± 0.27 |