fidoptCC-Tumor-Heterogeneity
10 pairs · ordered on TRE and SDlogJ| # | Method | TRE mm | Change | SDlogJ |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND) | 8.94 | −0.21 | 0.090 |
| 1 | Demons | 7.17 | −1.98 | 0.138 |
| No registration | 9.15 | 0.000 |
Tumours under treatment, same patient
1 datasets, 10 test pairs. A method is ranked here when it has a result on every pair of every one of them.
Read before comparing
- 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
| # | Method | Mean rank | CC-Tumor-Heterogeneity |
|---|---|---|---|
| 1 | ConvexAdam (MIND)GPUapp | 1.50 | 1 |
| 1 | DemonsCPUapp | 1.50 | 1 |
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.
HNTS-MRG 2024
15 pairs · ordered on TRE and SDlogJ research only| # | Method | TRE mm | Change | SDlogJ |
|---|---|---|---|---|
| 1 | ConvexAdam (MIND) | 3.52 | −0.70 | 0.067 |
| 2 | Demons | 3.93 | −0.28 | 0.076 |
| No registration | 4.21 | 0.000 |