Prostate MRI Segmentation on Multi-site Prostate MRI Stream SF->B (train test)
82.35DSC (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 | 82.35 | -5.42 | 77.43 | -14.05 | 2.09 | 0.6 | 3.2 | 1.95 | |
| SGAMethod Category=SMG-Learning, Backbone=2D-UNet, Optimization Algorithm=Dual-Meta2022.06 | 81.72 | -6.17 | 74.82 | -16.69 | 2.06 | 0.64 | 3.52 | 2.3 | |
| C-MetaMethod Category=CL, Backbone=2D-UNet2022.06 | 80.88 | -6.92 | 72.33 | -19.57 | 2.14 | 0.66 | 3.68 | 2.47 | |
| ISGMMethod Category=DG, Backbone=2D-UNet2022.06 | 78.6 | -9.03 | 74.48 | -17.04 | 2.4 | 0.97 | 3.46 | 2.23 | |
| GEMMethod Category=CL, Backbone=2D-UNet2022.06 | 78.15 | -9.52 | 72.31 | -19.43 | 2.41 | 0.94 | 3.96 | 2.7 | |
| G-MetaMethod Category=DG, Backbone=2D-UNet2022.06 | 77.32 | -10.15 | 75.06 | -16.7 | 2.55 | 1.17 | 3.43 | 2.21 | |
| JMMethod Category=Baseline, Backbone=2D-UNet2022.06 | 73.81 | -13.45 | 70.39 | -20.67 | 3.18 | 1.62 | 5.47 | 4.16 | |
| Fine TuningMethod Category=Baseline, Backbone=2D-UNet2022.06 | 64.2 | -24.07 | 67.87 | -24.39 | 7.57 | 6.21 | 11.84 | 10.72 |