fidoptLiver segmentation on CT without physical geometry
1 datasets, 27 test cases. A method is ranked here when it has a result on every case of every one of them.
Read before comparing
- Ranked apart: the provider files lost their physical voxel size and Hounsfield units.
Ranking OfficialResearch
| # | Method | Mean rank | PLC-CECT, delayed-phase liver segmentation |
|---|---|---|---|
| 1 | KonfAI segmentation app · TotalSegmentator (total), KonfAI appGPUapp | 1.001.0–2.0 | 1 |
| 2 | KonfAI segmentation app · TotalSegmentator (total), the authors' packageGPUapp | 2.001.0–2.0 | 2 |
| 3 | KonfAI segmentation app · MRSegmentator, KonfAI appGPUapp | 3.333.0–4.0 | 3 |
| 4 | CT-FM whole-body segmentationGPUapp | 3.673.0–4.0 | 4 |
| 5 | MONAI wholeBody CTGPUapp | 5.00 | 5 |
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.