fidoptAbdomen MR, segmentation
6 datasets, 79 test cases. A method is ranked here when it has a result on every case of every one of them.
Read before comparing
- 4 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
Provisional: no method has run on every dataset here yet. The methods that cover the most datasets come first, then the lower mean place on those.
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
TotalSegmentator MRI, 50 structures
10 cases · ordered on Dice| # | Method | Dice |
|---|---|---|
| 1 | KonfAI segmentation app · MRSegmentator, KonfAI app | 0.183 |
| 2 | KonfAI segmentation app · IMPACTSeg body, KonfAI app | 0.011 |
T2-weighted Kidney MRI
10 cases · ordered on DicePediatric thoracic dynamic MRI, six organs
28 cases · ordered on DiceMR enterography bowel segments
11 cases · ordered on DiceCHAOS MR, liver, kidneys and spleen
20 cases · ordered on Dice research onlyAbdomen MR (Learn2Reg 2021, AbdomenMRCT)
3 cases · ordered on Dice research only3 datasets without a ranked method yet
TotalSegmentator liver segments MR, PanSegData, pancreas on T2-weighted MR, CirrMRI600+, cirrhotic liver on T2-weighted MR.