fidoptAMOS MR/MR
10 pairs · ordered on Dice and SDlogJ| # | Method | Dice | Change | SDlogJ |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND) | 0.426 | +0.161 | 0.122 |
| 2 | Demons | 0.358 | +0.093 | 0.112 |
| 3 | multiGradICON | 0.410 | +0.145 | 0.161 |
| No registration | 0.265 | 0.000 |
Abdomen MR, inter-patient
2 datasets, 20 test pairs. A method is ranked here when it has a result on every pair of every one of them.
Ranking OfficialResearch
| # | Method | Mean rank | AMOS MR/MR | TotalSegmentator MRI |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND)GPUapp | 1.501.0–2.5 | 1 | 1 |
| 2 | DemonsCPUapp | 2.171.5–3.5 | 2 | 3 |
3 methods not ranked here yet: a dataset or some pairs are missing
| # | Method | Mean rank | AMOS MR/MR | TotalSegmentator MRI |
|---|---|---|---|---|
| greedyCPUapp | 2.00 | 2 | ||
| multiGradICONGPUapp | 2.67 | 3 | ||
| NiftyRegCPUapp | 4.00 | 4 |
1 place in that table, 1 is best2/10 cases done, not ranked yetn/a does not apply not run some cases failed
Under each dataset, the method's place in that dataset's table: 1 is best, the darker the better. The mean rank averages its places over the datasets.
The scores, dataset by dataset
Each score is followed by its change against no registration: green when the method did better, red when it did worse.
TotalSegmentator MRI
10 pairs · ordered on Dice and SDlogJ| # | Method | Dice | Change | SDlogJ |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND) | 0.331 | +0.146 | 0.123 |
| 2 | greedy | 0.295 | +0.111 | 0.096 |
| 3 | Demons | 0.271 | +0.087 | 0.109 |
| 4 | NiftyReg | 0.268 | +0.084 | 0.247 |
| No registration | 0.185 | 0.000 |