ODELIA breast MRI
Lesion classification on multi-centre breast MRI, over seven cross-validation folds (placeholder)
| 1 | { |
| 2 | "domain": "life-health", |
| 3 | "image": "python:3.12-slim", |
| 4 | "data": "Public: the ODELIA training split, with the fold assignments fixed in folds.csv. The held-out folds are scored on the runner only.", |
| 5 | "benchmark": { |
| 6 | "task": "Breast MRI lesion classification", |
| 7 | "metric": { |
| 8 | "name": "AUROC", |
| 9 | "better": "higher" |
| 10 | }, |
| 11 | "cost": "GPU-hours", |
| 12 | "subtasks": "folds", |
| 13 | "guardrails": [ |
| 14 | "Each fold’s model trains on the other folds only", |
| 15 | "No pretrained weights other than ImageNet", |
| 16 | "At most 40 GPU-hours per scored run on the reference runner" |
| 17 | ], |
| 18 | "aggregate": "mean", |
| 19 | "baseline": { |
| 20 | "name": "3D ResNet-18", |
| 21 | "score": 0.876, |
| 22 | "cost": 4.1, |
| 23 | "subtasks": { |
| 24 | "fold 1": 0.8893, |
| 25 | "fold 2": 0.865, |
| 26 | "fold 3": 0.8947, |
| 27 | "fold 4": 0.8792, |
| 28 | "fold 5": 0.8584, |
| 29 | "fold 6": 0.8901, |
| 30 | "fold 7": 0.8553 |
| 31 | } |
| 32 | } |
| 33 | } |
| 34 | } |