Prostate MRI Segmentation on Multi-site Prostate MRI Stream SA->E (train test)
83.6DSC (BM)SGA(+c)
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SGA(+c)Method Category=SMG-Learning, Backbone=2D-UNet, Optimization Algorithm=Dual-Meta, Buffer=Comprehensive replay buffer2022.06 | 83.6 | -5.25 | 87.18 | -2.3 | 1.81 | 0.59 | 1.34 | 0.3 | |
| SGAMethod Category=SMG-Learning, Backbone=2D-UNet, Optimization Algorithm=Dual-Meta2022.06 | 81.68 | -7.41 | 86.46 | -2.72 | 1.99 | 0.76 | 1.42 | 0.36 | |
| C-MetaMethod Category=CL, Backbone=2D-UNet2022.06 | 81.17 | -7.59 | 85.83 | -3.84 | 2.09 | 0.81 | 1.79 | 0.72 | |
| ISGMMethod Category=DG, Backbone=2D-UNet2022.06 | 80.49 | -8.01 | 86.22 | -2.97 | 2.25 | 0.93 | 1.54 | 0.45 | |
| GEMMethod Category=CL, Backbone=2D-UNet2022.06 | 79.69 | -9.58 | 84.82 | -4.47 | 2.48 | 1.23 | 2.13 | 1.08 | |
| G-MetaMethod Category=DG, Backbone=2D-UNet2022.06 | 78.98 | -10.78 | 86.31 | -2.94 | 2.33 | 1.17 | 1.5 | 0.43 | |
| JMMethod Category=Baseline, Backbone=2D-UNet2022.06 | 73.98 | -14.24 | 83.85 | -5.07 | 3.36 | 2.01 | 2.24 | 1.14 | |
| Fine TuningMethod Category=Baseline, Backbone=2D-UNet2022.06 | 62.64 | -27.4 | 82.77 | -7.01 | 5 | 3.84 | 2.4 | 1.38 |