fidoptKonfAI segmentation app
A KonfAI segmentation app run through konfai-apps: the variant names an app of fideus-labs/fidopt-segmentation, or one of Valentin Boussot's apps where it lives; the app writes its own labels, matched with the dataset's structures by name.
SegmentationGPUversion fideus-labs/fidopt-segmentation (private on Hugging Face for now)every datasetApache-2.0
Run it
With its KonfAI app, at the benchmark's settings (the fidopt app repositories are private for now: a Hugging Face token with access opens them):
pip install konfai-apps
| app | Command | |
|---|---|---|
| TotalSegmentator (total), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (total), KonfAI app | Get the app | konfai-apps infer VBoussot/TotalSegmentator-KonfAI:total -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (total_mr), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_MR -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (total_mr), KonfAI app | Get the app | konfai-apps infer VBoussot/TotalSegmentator-KonfAI:total_mr -i image.nii.gz -o out --gpu 0 |
| IMPACTSeg body, KonfAI app | Get the app | konfai-apps infer VBoussot/ImpactSeg:body -i image.nii.gz -o out --gpu 0 |
| MRSegmentator, KonfAI app | Get the app | konfai-apps infer VBoussot/MRSegmentator-KonfAI:MRSegmentator -i image.nii.gz -o out --gpu 0 |
| DentalSegmentator, KonfAI app | Get the app | konfai-apps infer VBoussot/DentalSegmentator-KonfAI:DentalSegmentator -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (lung_vessels), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_lung_vessels -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (lung_nodules), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_lung_nodules -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (liver_vessels), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_liver_vessels -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (kidney_cysts), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_kidney_cysts -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (pleural_pericard_effusion), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_pleural_pericard_effusion -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (trunk_cavities), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_trunk_cavities -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (head_glands_cavities), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_head_glands_cavities -i image.nii.gz -o out --gpu 0 |
| TotalSegmentator (craniofacial_structures), the authors' package | Get the app | konfai-apps infer fideus-labs/fidopt-segmentation:TotalSegmentator_craniofacial_structures -i image.nii.gz -o out --gpu 0 |
Where it works
Its place on each kind of problem it has results on, among the methods ranked there. A method that leads one problem can trail another: read the one closest to yours.
| Problem | app | Place | Ranked | Datasets |
|---|---|---|---|---|
| Abdomen CT, segmentation | TotalSegmentator (total), KonfAI app | 1 | of 4 | 12 of 12 |
| Body MR, many structures, segmentation | TotalSegmentator (total_mr), the authors' package | 1 | of 4 | 1 of 1 |
| Liver segmentation on CT without physical geometry | TotalSegmentator (total), KonfAI app | 1 | of 5 | 1 of 1 |
| Arterial liver MR, liver and hepatocellular carcinoma | TotalSegmentator (total_mr), the authors' package | 1 | of 3 | 1 of 1 |
| Clinical pelvic bones, CTPelvic1K | TotalSegmentator (total), the authors' package | 1 | of 5 | 1 of 1 |
| Simulated thoracic CBCT contours | IMPACTSeg body, KonfAI app | 1 | of 1 | 1 of 1 |
| Abdomen CT, segmentation | TotalSegmentator (total), the authors' package | 2 | of 4 | 12 of 12 |
| Body MR, many structures, segmentation | TotalSegmentator (total_mr), KonfAI app | 2 | of 4 | 1 of 1 |
| Liver segmentation on CT without physical geometry | TotalSegmentator (total), the authors' package | 2 | of 5 | 1 of 1 |
| Arterial liver MR, liver and hepatocellular carcinoma | TotalSegmentator (total_mr), KonfAI app | 2 | of 3 | 1 of 1 |
| Clinical pelvic bones, CTPelvic1K | TotalSegmentator (total), KonfAI app | 2 | of 5 | 1 of 1 |
| Body MR, many structures, segmentation | IMPACTSeg body, KonfAI app | 3 | of 4 | 1 of 1 |
| Liver segmentation on CT without physical geometry | MRSegmentator, KonfAI app | 3 | of 5 | 1 of 1 |
| Arterial liver MR, liver and hepatocellular carcinoma | MRSegmentator, KonfAI app | 3 | of 3 | 1 of 1 |
| Abdomen CT, segmentation | MRSegmentator, KonfAI app | 4 | of 4 | 12 of 12 |
| Body MR, many structures, segmentation | MRSegmentator, KonfAI app | 4 | of 4 | 1 of 1 |
| Clinical pelvic bones, CTPelvic1K | MRSegmentator, KonfAI app | 4 | of 5 | 1 of 1 |
| Abdomen CT, segmentation | TotalSegmentator (liver_vessels), the authors' package | not ranked yet | 2 of 12 | |
| Abdomen CT, segmentation | TotalSegmentator (kidney_cysts), the authors' package | not ranked yet | 1 of 12 | |
| Body CT, many structures, segmentation | IMPACTSeg body, KonfAI app | not ranked yet | 4 of 5 | |
| Body CT, many structures, segmentation | TotalSegmentator (total), the authors' package | not ranked yet | 4 of 5 | |
| Body CT, many structures, segmentation | TotalSegmentator (total), KonfAI app | not ranked yet | 4 of 5 | |
| Body CT, many structures, segmentation | MRSegmentator, KonfAI app | not ranked yet | 3 of 5 | |
| Body CT, many structures, segmentation | TotalSegmentator (head_glands_cavities), the authors' package | not ranked yet | 1 of 5 | |
| Body CT, many structures, segmentation | TotalSegmentator (kidney_cysts), the authors' package | not ranked yet | 1 of 5 | |
| Abdomen MR, segmentation | MRSegmentator, KonfAI app | not ranked yet | 5 of 6 | |
| Abdomen MR, segmentation | TotalSegmentator (total_mr), the authors' package | not ranked yet | 4 of 6 | |
| Abdomen MR, segmentation | TotalSegmentator (total_mr), KonfAI app | not ranked yet | 4 of 6 | |
| Abdomen MR, segmentation | IMPACTSeg body, KonfAI app | not ranked yet | 1 of 6 | |
| Heart, segmentation | MRSegmentator, KonfAI app | not ranked yet | 1 of 6 | |
| Heart, segmentation | TotalSegmentator (total_mr), the authors' package | not ranked yet | 1 of 6 | |
| Heart, segmentation | TotalSegmentator (total_mr), KonfAI app | not ranked yet | 1 of 6 | |
| Chest CT, segmentation | TotalSegmentator (lung_vessels), the authors' package | not ranked yet | 2 of 4 | |
| Chest CT, segmentation | IMPACTSeg body, KonfAI app | not ranked yet | 1 of 4 | |
| Chest CT, segmentation | MRSegmentator, KonfAI app | not ranked yet | 1 of 4 | |
| Chest CT, segmentation | TotalSegmentator (total), the authors' package | not ranked yet | 1 of 4 | |
| Chest CT, segmentation | TotalSegmentator (total), KonfAI app | not ranked yet | 1 of 4 | |
| Spine, bones and joints, segmentation | TotalSegmentator (total), KonfAI app | not ranked yet | 4 of 9 | |
| Spine, bones and joints, segmentation | TotalSegmentator (total), the authors' package | not ranked yet | 3 of 9 | |
| Spine, bones and joints, segmentation | IMPACTSeg body, KonfAI app | not ranked yet | 1 of 9 | |
| Spine, bones and joints, segmentation | MRSegmentator, KonfAI app | not ranked yet | 1 of 9 | |
| Spine, bones and joints, segmentation | TotalSegmentator (total_mr), the authors' package | not ranked yet | 1 of 9 | |
| Spine, bones and joints, segmentation | TotalSegmentator (total_mr), KonfAI app | not ranked yet | 1 of 9 | |
| Prostate and pelvis, segmentation | TotalSegmentator (total), the authors' package | not ranked yet | 1 of 6 | |
| Prostate and pelvis, segmentation | TotalSegmentator (total), KonfAI app | not ranked yet | 1 of 6 | |
| Prostate and pelvis, segmentation | TotalSegmentator (total_mr), the authors' package | not ranked yet | 1 of 6 | |
| Prostate and pelvis, segmentation | TotalSegmentator (total_mr), KonfAI app | not ranked yet | 1 of 6 | |
| Lesions and tumours, segmentation | TotalSegmentator (lung_nodules), the authors' package | not ranked yet | 2 of 33 | |
| Lesions and tumours, segmentation | TotalSegmentator (liver_vessels), the authors' package | not ranked yet | 1 of 33 | |
| Vessels, segmentation | MRSegmentator, KonfAI app | not ranked yet | 1 of 2 | |
| Vessels, segmentation | TotalSegmentator (total), the authors' package | not ranked yet | 1 of 2 | |
| Vessels, segmentation | TotalSegmentator (total), KonfAI app | not ranked yet | 1 of 2 |
Results
| Dataset | app | # | Read by | Score | Failed | Time s |
|---|---|---|---|---|---|---|
| AMOS CT, abdominal organs | TotalSegmentator (total), the authors' package | 1 | Dice | 0.776 | 0 | 142 |
| AMOS CT, abdominal organs | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.766 | 0 | 35 |
| AMOS CT, abdominal organs | MRSegmentator, KonfAI app | 5 | Dice | 0.219 | 0 | 29 |
| AMOS MR, abdominal organs | TotalSegmentator (total_mr), KonfAI app | 1 | Dice | 0.721 | 0 | 6 |
| AMOS MR, abdominal organs | TotalSegmentator (total_mr), the authors' package | 2 | Dice | 0.718 | 0 | |
| AMOS MR, abdominal organs | MRSegmentator, KonfAI app | 3 | Dice | 0.003 | 0 | 14 |
| ATM22 | TotalSegmentator (lung_vessels), the authors' package | 1 | Dice | 0.862 | 0 | |
| AeroPath | TotalSegmentator (lung_vessels), the authors' package | 1 | Dice | 0.825 | 0 | |
| AVT aortic vessel tree | TotalSegmentator (total), the authors' package | 1 | Dice | 0.851 | 0 | |
| AVT aortic vessel tree | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.849 | 0 | |
| AVT aortic vessel tree | MRSegmentator, KonfAI app | 3 | Dice | 0.850 | 0 | |
| MR enterography bowel segments | TotalSegmentator (total_mr), KonfAI app | 1 | Dice | 0.414 | 0 | 26 |
| MR enterography bowel segments | TotalSegmentator (total_mr), the authors' package | 2 | Dice | 0.406 | 0 | |
| MR enterography bowel segments | MRSegmentator, KonfAI app | 3 | Dice | 0.034 | 1 | |
| CHAOS MR, liver, kidneys and spleen | MRSegmentator, KonfAI app | 1 | Dice | 0.890 | 0 | |
| CHAOS MR, liver, kidneys and spleen | TotalSegmentator (total_mr), the authors' package | 2 | Dice | 0.855 | 0 | |
| CHAOS MR, liver, kidneys and spleen | TotalSegmentator (total_mr), KonfAI app | 3 | Dice | 0.847 | 0 | 25 |
| COVID-19 CT Lung and Infection | MRSegmentator, KonfAI app | 1 | Dice | 0.904 | 0 | |
| COVID-19 CT Lung and Infection | TotalSegmentator (total), the authors' package | 2 | Dice | 0.872 | 0 | |
| COVID-19 CT Lung and Infection | TotalSegmentator (total), KonfAI app | 3 | Dice | 0.859 | 0 | 25 |
| Colorectal-Liver-Metastases, liver and veins | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.948 | 0 | 20 |
| Colorectal-Liver-Metastases, liver and veins | TotalSegmentator (total), the authors' package | 3 | Dice | 0.948 | 0 | |
| Colorectal-Liver-Metastases, liver and veins | MRSegmentator, KonfAI app | 4 | Dice | 0.759 | 2 | 22 |
| CT-ORG | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.933 | 0 | 22 |
| CT-ORG | TotalSegmentator (total), the authors' package | 3 | Dice | 0.931 | 0 | |
| CT-ORG | IMPACTSeg body, KonfAI app | 4 | Dice | 0.859 | 0 | 6 |
| CT-ORG | MRSegmentator, KonfAI app | 7 | Dice | 0.675 | 0 | |
| CTPelvic1K, CLINIC pelvic bones | TotalSegmentator (total), the authors' package | 1 | Dice | 0.928 | 0 | |
| CTPelvic1K, CLINIC pelvic bones | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.927 | 0 | 28 |
| CTPelvic1K, CLINIC pelvic bones | MRSegmentator, KonfAI app | 4 | Dice | 0.902 | 0 | |
| FLARE22 | TotalSegmentator (total), the authors' package | 1 | Dice | 0.891 | 0 | |
| FLARE22 | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.890 | 0 | 25 |
| FLARE22 | MRSegmentator, KonfAI app | 5 | Dice | 0.011 | 0 | |
| HCC-TACE-Seg | MRSegmentator, KonfAI app | 1 | Dice | 0.838 | 0 | |
| HCC-TACE-Seg | TotalSegmentator (total), KonfAI app | 3 | Dice | 0.827 | 0 | 18 |
| HCC-TACE-Seg | TotalSegmentator (total), the authors' package | 4 | Dice | 0.825 | 0 | |
| HCC-TACE-Seg | TotalSegmentator (liver_vessels), the authors' package | 5 | Dice | 0.514 | 0 | 25 |
| HQColon, colon | TotalSegmentator (total), the authors' package | 1 | Dice | 0.871 | 0 | |
| HQColon, colon | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.871 | 0 | 20 |
| HQColon, colon | MRSegmentator, KonfAI app | 3 | Dice | 0.783 | 1 | 62 |
| HVSMR-2.0 | TotalSegmentator (total_mr), KonfAI app | 1 | Dice | 0.363 | 0 | 25 |
| HVSMR-2.0 | TotalSegmentator (total_mr), the authors' package | 2 | Dice | 0.329 | 0 | 18 |
| HVSMR-2.0 | MRSegmentator, KonfAI app | 3 | Dice | 0.000 | 0 | |
| HaN-Seg | TotalSegmentator (craniofacial_structures), the authors' package | 1 | Dice | 0.943 | 0 | 53 |
| HaN-Seg | TotalSegmentator (head_glands_cavities), the authors' package | 2 | Dice | 0.644 | 0 | 41 |
| HaN-Seg | TotalSegmentator (total), the authors' package | 3 | Dice | 0.599 | 0 | |
| HaN-Seg | TotalSegmentator (total), KonfAI app | 4 | Dice | 0.597 | 0 | 58 |
| HaN-Seg | IMPACTSeg body, KonfAI app | 6 | Dice | 0.198 | 4 | 17 |
| C4KC-KiTS | MRSegmentator, KonfAI app | 1 | Dice | 0.890 | 0 | |
| C4KC-KiTS | TotalSegmentator (total), the authors' package | 2 | Dice | 0.890 | 0 | |
| C4KC-KiTS | TotalSegmentator (total), KonfAI app | 3 | Dice | 0.884 | 0 | 25 |
| T2-weighted Kidney MRI | TotalSegmentator (total_mr), KonfAI app | 1 | Dice | 0.876 | 0 | 10 |
| T2-weighted Kidney MRI | TotalSegmentator (total_mr), the authors' package | 2 | Dice | 0.867 | 0 | 19 |
| T2-weighted Kidney MRI | MRSegmentator, KonfAI app | 3 | Dice | 0.266 | 0 | |
| OAIZIB-CM, knee bones and cartilage | TotalSegmentator (total_mr), KonfAI app | 1 | Dice | 0.926 | 0 | 22 |
| OAIZIB-CM, knee bones and cartilage | TotalSegmentator (total_mr), the authors' package | 2 | Dice | 0.918 | 0 | 22 |
| OAIZIB-CM, knee bones and cartilage | MRSegmentator, KonfAI app | 3 | Dice | 0.000 | 0 | |
| Abdomen CT (Learn2Reg 2020, Task 3) | MRSegmentator, KonfAI app | 1 | Dice | 0.365 | 0 | |
| Abdomen CT (Learn2Reg 2020, Task 3) | TotalSegmentator (total), the authors' package | 2 | Dice | 0.264 | 0 | |
| Abdomen CT (Learn2Reg 2020, Task 3) | TotalSegmentator (total), KonfAI app | 3 | Dice | 0.259 | 0 | 23 |
| Abdomen CT (Learn2Reg 2021, AbdomenMRCT) | TotalSegmentator (total), the authors' package | 1 | Dice | 0.902 | 0 | |
| Abdomen CT (Learn2Reg 2021, AbdomenMRCT) | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.900 | 0 | 7 |
| Abdomen CT (Learn2Reg 2021, AbdomenMRCT) | MRSegmentator, KonfAI app | 4 | Dice | 0.002 | 0 | |
| Abdomen MR (Learn2Reg 2021, AbdomenMRCT) | TotalSegmentator (total_mr), the authors' package | 1 | Dice | 0.898 | 0 | 39 |
| Abdomen MR (Learn2Reg 2021, AbdomenMRCT) | TotalSegmentator (total_mr), KonfAI app | 2 | Dice | 0.896 | 0 | 11 |
| Abdomen MR (Learn2Reg 2021, AbdomenMRCT) | MRSegmentator, KonfAI app | 3 | Dice | 0.000 | 0 | |
| LCTSC, thoracic organs at risk | MRSegmentator, KonfAI app | 4 | Dice | 0.857 | 0 | |
| LCTSC, thoracic organs at risk | TotalSegmentator (total), the authors' package | 5 | Dice | 0.835 | 0 | |
| LCTSC, thoracic organs at risk | TotalSegmentator (total), KonfAI app | 6 | Dice | 0.835 | 0 | 40 |
| LCTSC, thoracic organs at risk | IMPACTSeg body, KonfAI app | 7 | Dice | 0.731 | 0 | |
| LNDb | TotalSegmentator (lung_nodules), the authors' package | 1 | Dice | 0.276 | 0 | |
| LiverHccSeg, arterial liver MR | TotalSegmentator (total_mr), the authors' package | 1 | Dice | 0.898 | 0 | 23 |
| LiverHccSeg, arterial liver MR | TotalSegmentator (total_mr), KonfAI app | 2 | Dice | 0.893 | 0 | 27 |
| LiverHccSeg, arterial liver MR | MRSegmentator, KonfAI app | 3 | Dice | 0.001 | 0 | |
| CT follow-up of liver metastases, liver | MRSegmentator, KonfAI app | 1 | Dice | 0.771 | 0 | |
| CT follow-up of liver metastases, liver | TotalSegmentator (total), the authors' package | 4 | Dice | 0.000 | 0 | |
| CT follow-up of liver metastases, liver | TotalSegmentator (total), KonfAI app | 5 | Dice | 0.000 | 0 | 14 |
| PLC-CECT, delayed-phase liver segmentation | TotalSegmentator (total), KonfAI app | 1 | Dice | 0.716 | 0 | 26 |
| PLC-CECT, delayed-phase liver segmentation | TotalSegmentator (total), the authors' package | 2 | Dice | 0.668 | 0 | |
| PLC-CECT, delayed-phase liver segmentation | MRSegmentator, KonfAI app | 3 | Dice | 0.406 | 11 | 44 |
| MSD Liver | TotalSegmentator (total), KonfAI app | 1 | Dice | 0.921 | 0 | 22 |
| MSD Liver | TotalSegmentator (total), the authors' package | 2 | Dice | 0.920 | 0 | |
| MSD Liver | TotalSegmentator (liver_vessels), the authors' package | 5 | Dice | 0.591 | 0 | 42 |
| MSD Liver | MRSegmentator, KonfAI app | 6 | Dice | 0.006 | 2 | 57 |
| MSD Pancreas | TotalSegmentator (total), KonfAI app | 1 | Dice | 0.758 | 0 | 26 |
| MSD Pancreas | TotalSegmentator (total), the authors' package | 2 | Dice | 0.758 | 0 | |
| MSD Pancreas | MRSegmentator, KonfAI app | 5 | Dice | 0.032 | 1 | 22 |
| MSD Spleen | TotalSegmentator (total), KonfAI app | 1 | Dice | 0.943 | 0 | 22 |
| MSD Spleen | TotalSegmentator (total), the authors' package | 2 | Dice | 0.942 | 0 | |
| MSD Spleen | MRSegmentator, KonfAI app | 5 | Dice | 0.000 | 0 | |
| Spinal-Multiple-Myeloma-SEG, vertebrae and lytic lesions | TotalSegmentator (total), KonfAI app | 1 | Dice | 0.890 | 0 | 41 |
| Spinal-Multiple-Myeloma-SEG, vertebrae and lytic lesions | TotalSegmentator (total), the authors' package | 2 | Dice | 0.822 | 1 | |
| LIDC-annot-NLST501 | TotalSegmentator (lung_nodules), the authors' package | 1 | Dice | 0.288 | 0 | 40 |
| NLSTseg | TotalSegmentator (lung_nodules), the authors' package | 1 | Dice | 0.557 | 0 | 41 |
| PDDCA, head and neck organs at risk | TotalSegmentator (craniofacial_structures), the authors' package | 1 | Dice | 0.654 | 0 | 38 |
| PDDCA, head and neck organs at risk | TotalSegmentator (head_glands_cavities), the authors' package | 2 | Dice | 0.566 | 0 | 26 |
| PENGWIN CT | TotalSegmentator (total), the authors' package | 1 | Dice | 0.926 | 0 | |
| PENGWIN CT | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.925 | 0 | 20 |
| PENGWIN CT | MRSegmentator, KonfAI app | 4 | Dice | 0.632 | 3 | |
| PROMISE12, prostate | TotalSegmentator (total_mr), the authors' package | 1 | Dice | 0.774 | 0 | 18 |
| PROMISE12, prostate | TotalSegmentator (total_mr), KonfAI app | 2 | Dice | 0.720 | 0 | 14 |
| Pancreas-CT, 8 organs | TotalSegmentator (total), KonfAI app | 1 | Dice | 0.841 | 0 | 21 |
| Pancreas-CT, 8 organs | TotalSegmentator (total), the authors' package | 2 | Dice | 0.840 | 0 | |
| Pancreas-CT, 8 organs | MRSegmentator, KonfAI app | 5 | Dice | 0.156 | 4 | 77 |
| Pancreatic-CT-CBCT-SEG, bowel on the planning CT | MRSegmentator, KonfAI app | 1 | Dice | 0.072 | 0 | 54 |
| Pancreatic-CT-CBCT-SEG, bowel on the planning CT | TotalSegmentator (total), the authors' package | 2 | Dice | 0.074 | 0 | |
| Pancreatic-CT-CBCT-SEG, bowel on the planning CT | TotalSegmentator (total), KonfAI app | 3 | Dice | 0.073 | 0 | |
| Pediatric-CT-SEG, organs of children | TotalSegmentator (total), the authors' package | 2 | Dice | 0.633 | 0 | |
| Pediatric-CT-SEG, organs of children | TotalSegmentator (total), KonfAI app | 4 | Dice | 0.624 | 0 | 17 |
| Pediatric-CT-SEG, organs of children | IMPACTSeg body, KonfAI app | 5 | Dice | 0.547 | 2 | 15 |
| Pediatric-CT-SEG, organs of children | MRSegmentator, KonfAI app | 6 | Dice | 0.315 | 8 | 31 |
| Pediatric thoracic dynamic MRI, six organs | TotalSegmentator (total_mr), the authors' package | 1 | Dice | 0.750 | 0 | 23 |
| Pediatric thoracic dynamic MRI, six organs | TotalSegmentator (total_mr), KonfAI app | 2 | Dice | 0.737 | 0 | 27 |
| Pediatric thoracic dynamic MRI, six organs | MRSegmentator, KonfAI app | 3 | Dice | 0.067 | 0 | |
| PleThora | TotalSegmentator (pleural_pericard_effusion), the authors' package | 1 | Dice | 0.374 | 0 | 45 |
| Prostate-Anatomical-Edge-Cases | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.840 | 0 | 35 |
| Prostate-Anatomical-Edge-Cases | TotalSegmentator (total), the authors' package | 3 | Dice | 0.839 | 0 | |
| Prostate-MRI-US-Biopsy, the gland on MR | TotalSegmentator (total_mr), the authors' package | 1 | Dice | 0.813 | 0 | 19 |
| Prostate-MRI-US-Biopsy, the gland on MR | TotalSegmentator (total_mr), KonfAI app | 2 | Dice | 0.803 | 0 | 21 |
| Simulated thoracic CBCT, four clinical contours | IMPACTSeg body, KonfAI app | 1 | Dice | 0.809 | 0 | 3 |
| RCC-AID | MRSegmentator, KonfAI app | 1 | Dice | 0.851 | 0 | |
| RCC-AID | TotalSegmentator (total), KonfAI app | 3 | Dice | 0.599 | 0 | |
| RCC-AID | TotalSegmentator (total), the authors' package | 4 | Dice | 0.554 | 0 | |
| RCC-AID | TotalSegmentator (kidney_cysts), the authors' package | 5 | Dice | 0.005 | 0 | 24 |
| RibSeg v2, individual ribs | TotalSegmentator (total), the authors' package | 1 | Dice | 0.805 | 0 | |
| RibSeg v2, individual ribs | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.790 | 0 | |
| SAROS body regions | IMPACTSeg body, KonfAI app | 1 | Dice | 0.896 | 0 | 25 |
| SAROS body regions | TotalSegmentator (total), the authors' package | 2 | Dice | 0.820 | 0 | 96 |
| SAROS body regions | TotalSegmentator (total), KonfAI app | 3 | Dice | 0.815 | 0 | 36 |
| SAROS body regions | TotalSegmentator (head_glands_cavities), the authors' package | 4 | Dice | 0.640 | 0 | 41 |
| SAROS body regions | MRSegmentator, KonfAI app | 6 | Dice | 0.271 | 0 | 33 |
| Spine-generic, spinal cord | TotalSegmentator (total_mr), the authors' package | 1 | Dice | 0.513 | 0 | |
| Spine-generic, spinal cord | TotalSegmentator (total_mr), KonfAI app | 2 | Dice | 0.482 | 1 | |
| Spine-generic, spinal cord | IMPACTSeg body, KonfAI app | 3 | Dice | 0.000 | 0 | 8 |
| Spine-Mets-CT-SEG | TotalSegmentator (total), the authors' package | 1 | Dice | 0.858 | 0 | |
| Spine-Mets-CT-SEG | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.844 | 0 | |
| TotalSegmentator CT | TotalSegmentator (total), the authors' package | 1 | Dice | 0.928 | 0 | 85 |
| TotalSegmentator CT | TotalSegmentator (total), KonfAI app | 2 | Dice | 0.867 | 0 | 29 |
| TotalSegmentator CT | IMPACTSeg body, KonfAI app | 3 | Dice | 0.789 | 0 | 25 |
| TotalSegmentator CT | TotalSegmentator (kidney_cysts), the authors' package | 5 | Dice | 0.058 | 0 | 27 |
| TotalSegmentator MRI, any region | TotalSegmentator (total_mr), the authors' package | 1 | Dice | 0.718 | 0 | 31 |
| TotalSegmentator MRI, any region | TotalSegmentator (total_mr), KonfAI app | 2 | Dice | 0.631 | 0 | 25 |
| TotalSegmentator MRI, any region | IMPACTSeg body, KonfAI app | 3 | Dice | 0.105 | 0 | 22 |
| TotalSegmentator MRI, any region | MRSegmentator, KonfAI app | 4 | Dice | 0.039 | 1 | 23 |
| TotalSegmentator MRI, 50 structures | MRSegmentator, KonfAI app | 1 | Dice | 0.183 | 0 | |
| TotalSegmentator MRI, 50 structures | IMPACTSeg body, KonfAI app | 2 | Dice | 0.011 | 0 | |
| VerSe, vertebrae | TotalSegmentator (total), KonfAI app | 1 | Dice | 0.574 | 4 | 34 |
| WAW-TACE | TotalSegmentator (liver_vessels), the authors' package | 1 | Dice | 0.572 | 0 | 32 |