fidoptLIDC-annot-NLST501
20 cases · ordered on Dice| # | Method | Dice |
|---|---|---|
| 1 | KonfAI segmentation app · TotalSegmentator (lung_nodules), the authors' package | 0.288 |
Lesions and tumours, segmentation
33 datasets, 577 test cases. A method is ranked here when it has a result on every case of every one of them.
Read before comparing
- 10 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.
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
NLSTseg
30 cases · ordered on Dice| # | Method | Dice |
|---|---|---|
| 1 | KonfAI segmentation app · TotalSegmentator (lung_nodules), the authors' package | 0.557 |
WAW-TACE
23 cases · ordered on Dice| # | Method | Dice |
|---|---|---|
| 1 | KonfAI segmentation app · TotalSegmentator (liver_vessels), the authors' package | 0.572 |
LNDb
20 cases · ordered on Dice research only| # | Method | Dice |
|---|---|---|
| 1 | KonfAI segmentation app · TotalSegmentator (lung_nodules), the authors' package | 0.276 |
39 datasets without a ranked method yet
RIDER Lung CT, primary tumour, Vestibular-Schwannoma-SEG, tumour and cochlea, MSD Colon, MSD Lung, Lausanne TOF-MRA aneurysms, Vestibular-Schwannoma-MC-RC, UCSD-BMETS-Longitudinal, brain metastases, CC-Tumor-Heterogeneity, cervical tumour, MSLesSeg, multiple sclerosis lesions, Soft-tissue-Sarcoma, Aphasia Recovery Cohort stroke lesions, Bonn focal cortical dysplasia (FLAIR), Mediastinal-Lymph-Node-SEG, FDG-PET-CT-Lesions (autoPET), PET lesions, ISPY1-Tumor-SEG-Radiomics, Pituitary neuroendocrine tumour MRI, PSMA-PET-CT-Lesions (autoPET III and IV), PET lesions, Adrenal-ACC-Ki67-Seg, Advanced-MRI-Breast-Lesions, ReMIND, brain tumour before resection, TotalSegmentator liver_lesions, CT, LIDC-IDRI, CPTAC-PDA-Tumor-Annotations, CPTAC-CCRCC-Tumor-Annotations, UCSD-VS-Longitudinal, vestibular schwannoma, Vestibular-Schwannoma-MC-RC2, FUMPE, pulmonary embolism, BCBM-RadioGenomics, breast cancer brain metastases, MCT-LTDiag, READ-PE pulmonary emboli, ISLES 2022, PANORAMA, BONBID-HIE neonatal lesions, MS lesions, Ljubljana, NSCLC-Radiomics, Lung1, BHSD brain haemorrhage CT, NSCLC-Radiomics-Interobserver1, PanTrack, CancerVerse.