ODELIA breast MRI

Lesion classification on multi-centre breast MRI, over seven cross-validation folds (placeholder)

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curator Declare the evaluation and the baseline a935721 · 2个月前历史

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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	}