fidoptLUMIR (Learn2Reg 2024), training images
30 pairs · ordered on Dice and SDlogJ research only| # | Method | Dice | Change | SDlogJ |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND) | 0.620 | +0.159 | 0.049 |
| 2 | Demons | 0.594 | +0.133 | 0.026 |
| No registration | 0.461 | 0.000 |
Brain MR, inter-subject, automatic labels
0 datasets, 0 test cases. A method is ranked here when it has a result on every case of every one of them.
Read before comparing
- Nobody annotated these datasets by hand: their organ contours come from a segmentation program run on each image. A method that itself relies on that program is checked against its own view of the anatomy. These leaderboards are ranked apart for that reason.
- 2 datasets of this kind are shown below and not ranked on the official board: their licence does not allow a public leaderboard. The research board (Research, above the ranking) ranks them too.
Ranking OfficialResearch
No method has a complete result on any dataset here yet.
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.