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Abdomen CT (Learn2Reg 2021, AbdomenMRCT)

Abdominal CT of one patient with the liver, the spleen and the kidneys labelled (the Learn2Reg 2021 abdomen MR/CT task).

3 test casesabdomenimage CTresearch only
Read before comparing (1)
  • Cases. The moving images of L2R_AbdomenMRCT's pairs, the CT images as delivered on the MR's grid: 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.
AccuracyCost
#MethodDiceSurface DiceHD95 mmTime sRAM GBGPU GBImages
11–4KonfAI segmentation app · TotalSegmentator (total), the authors' packageGPUapp0.902 ±0.0540.525 ±0.1126.35 ±1.5517.23.7
21–4KonfAI segmentation app · TotalSegmentator (total), KonfAI appGPUapp0.900 ±0.0570.521 ±0.1256.45 ±1.4472.65.2
21–4MONAI wholeBody CTGPUapp0.902 ±0.0520.518 ±0.1186.46 ±2.10293.67.5
41–4KonfAI segmentation app · MRSegmentator, KonfAI appGPUapp0.002 ±0.0070.000 ±0.001160.67 ±24.742.64.9

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.

1 result not ranked: an older run, cases still missing, or a failure on every case
AccuracyCost
#MethodDiceSurface DiceHD95 mmTime sRAM GBGPU GBMachineImages
MONAI wholeBody CTGPUappolder run0.902 ±0.0520.518 ±0.1186.46 ±2.10102.47.3Laptop

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/moving, case_0002/moving, case_0003/moving, case_0005/moving, case_0004/moving