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Segmentation leaderboards

Chest CT, segmentation

4 datasets, 63 test cases. A method is ranked here when it has a result on every case of every one of them.

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  • 3 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.
#MethodMean rankDatasetsLCTSC, thoracic organs at riskAeroPathTotalSegmentator pleural_pericard_effusion, pericardial effusionATM22
1KonfAI segmentation app · TotalSegmentator (lung_vessels), the authors' packageGPUapp1.002 of 4n/a1n/a1
2lungmaskGPUapp1.331 of 41n/an/an/a
3lungmask · lobesGPUapp1.671 of 42n/an/an/a
4MONAI wholeBody CTGPUapp3.331 of 43n/an/an/a
5KonfAI segmentation app · MRSegmentator, KonfAI appGPUapp4.671 of 44n/an/an/a
6KonfAI segmentation app · TotalSegmentator (total), the authors' packageGPUapp5.331 of 45n/an/an/a
7KonfAI segmentation app · TotalSegmentator (total), KonfAI appGPUapp5.671 of 46n/an/an/a
8KonfAI segmentation app · IMPACTSeg body, KonfAI appGPUapp6.001 of 47n/an/an/a
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

2 datasets without a ranked method yet

TotalSegmentator pleural_pericard_effusion, pericardial effusion, MIDRC-RICORD-1A.