Data splits (chest CT)
- Split ID lists; download each dataset from its source under its own terms.
valis for model selection;testis official unless noted.
| Dataset | Files | ID format | Train / Val / Test | Notes |
|---|---|---|---|---|
| LIDC-IDRI | splits/lidc_idri/ |
PatientID/StudyUID/SeriesUID |
705 / 148 / 157 | Patient-disjoint |
| RSNA-PE | splits/rsna_pe/ |
StudyUID/SeriesUID |
4,983 / 1,062 / 1,060 | Study-level (Ke et al., MIDL 2024) |
| MSD-Lung | splits/msd_lung/ |
MSD case id | 44 / 6 / 13 | Holdout of 63 cases |
| NSCLC-Radiomics | splits/nsclc_radiomics/ |
LUNG1-XXX |
294 / 42 / 84 | LUNG1-035/128 excluded (corrupt) |
| CT-RATE | splits/ct_rate/ |
volume name | 43,400 / 2,994 / 3,002 | test = official validation (1,304 patients); val = 1,304 patients from the official train |
CT-RATE notes (the lists already exclude CT-RATE's non-chest volumes and 3 unreadable ones):
- Pretraining: also excludes
pretrain_exclusions.txt(ReXGroundingCT overlap) and volumes with an empty report decomposition → 43,337 / 2,990 / 3,002. - Fine-tuning: also excludes 11 unusable volumes (
ft/chest_ct/*/dataset/ct_rate.py) → 43,390 / 2,993 / 3,002.