fidoptAbdomen MR (Learn2Reg 2021, AbdomenMRCT)
Abdominal MR of one patient with the liver, the spleen and the kidneys labelled (the Learn2Reg 2021 abdomen MR/CT task).
Read before comparing (1)
- Cases. The fixed images of L2R_AbdomenMRCT's pairs, the MR images: a test pair's image is a test case, a development pair's a development case. The task's validation holds three pairs, so three test images.
| Accuracy | Cost | |||||||
|---|---|---|---|---|---|---|---|---|
| # | Method | Dice | Surface Dice | HD95 mm | Time s | RAM GB | GPU GB | Images |
| 11–3 | KonfAI segmentation app · TotalSegmentator (total_mr), the authors' packageGPUapp | 0.898 ±0.056 | 0.500 ±0.124 | 6.89 ±5.78 | 39 | 13.0 | 3.1 | |
| 21–3 | KonfAI segmentation app · TotalSegmentator (total_mr), KonfAI appGPUapp | 0.896 ±0.055 | 0.507 ±0.133 | 7.61 ±5.87 | 11 | 2.5 | 4.1 | |
| 31–3 | KonfAI segmentation app · MRSegmentator, KonfAI appGPUapp | 0.000 ±0.000 | 0.000 ±0.000 | 176.86 ±74.60 | 2.6 | 4.9 | ||
The order averages each method's ranks on Dice, Surface Dice, HD95 mm, so the first one is not always the best in every column. ± is the 95% interval of the mean over the 3 cases. Two neighbours are tied when a paired Wilcoxon test on the shared cases does not find the upper one better on Dice (5%): the places a method could hold are then shown under its own. The best value of each column is in colour. Click a row to see its images, a column title to sort by it. Time and memory measured on Workstation.
Dice: how much the organ contours overlap, 1 is perfect. Surface Dice: the share of the contours' surfaces within a tolerance of each other, 1 is perfect. HD95: distance between the contours' surfaces.
Case by case
Click a score to look at that result: the image, the truth in green and the method's map in red. Underlined scores have their image; for the others you see the case without the result.
About the data
- Truth
- contours by experts the challenge's validation labels
- Licence
- CC BY 3.0 (TCIA TCGA CT) and CC BY-NC-SA 4.0 (CHAOS MR)
5 cases for tuning, never tested
case_0001/fixed, case_0002/fixed, case_0003/fixed, case_0005/fixed, case_0004/fixed