fidoptCT follow-up of liver metastases
10 pairs · ordered on Dice and SDlogJ| # | Method | Dice | Change | SDlogJ |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND) | 0.863 | +0.129 | 0.113 |
| 2 | Demons | 0.846 | +0.112 | 0.066 |
| No registration | 0.734 | 0.000 |
Abdomen CT, same patient, files without their voxel size
2 datasets, 37 test pairs. A method is ranked here when it has a result on every pair of every one of them.
Read before comparing
- Ranked apart: the files lost their voxel size and Hounsfield units, so distances are in voxels and part of what separates the two images is a scale the files made.
Ranking OfficialResearch
| # | Method | Mean rank | CT follow-up of liver metastases | PLC-CECT |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND)GPUapp | 1.331.0–1.5 | 1 | 1 |
| 2 | DemonsCPUapp | 1.671.5–2.0 | 2 | 2 |
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.
PLC-CECT
27 pairs · ordered on Dice and SDlogJ| # | Method | Dice | Change | SDlogJ |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND) | 0.964 | +0.058 | 0.046 |
| 2 | Demons | 0.948 | +0.042 | 0.033 |
| No registration | 0.907 | 0.000 |