fidoptOne lesion in a CT volume of interest, segmentation
0 datasets, 0 test cases. A method is ranked here when it has a result on every case of every one of them.
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- Ranked apart: each volume is cut around one lesion and only that lesion is drawn, so another lesion a method finds in the volume counts against it: a task segmenters of whole scans do not take.
- 1 dataset of this kind is shown below and not ranked on the official board: its licence does not allow a public leaderboard. The research board (Research, above the ranking) ranks it 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.