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LIDC-IDRI

Benchmarks

Task NameDataset NameSOTA ResultTrend
Multi-rater Medical Image SegmentationLIDC-IDRI (test)
GED0.1358
15
Lung nodule classificationLIDC-IDRI
Accuracy93
14
Medical Image SegmentationLIDC-IDRI (test)
GED0.208
12
Lung Nodule SegmentationLIDC-IDRI
GED0.232
10
Lung Nodule SegmentationLIDC-IDRI (test)
Dice77.4
9
Medical Image SegmentationLIDC-IDRI
GED0.238
8
Nodule ClassificationLIDC-IDRI All Nodules (test folds 1-5)
Accuracy90.44
8
Image Distribution SimilarityLIDC-IDRI
FID0.75
7
SegmentationLIDC-IDRI
Dice80
6
Pulmonary nodule classificationLIDC-IDRI (folds 1-5)
Accuracy90.77
6
Orthogonal CT ReconstructionLIDC-IDRI
MAE75.3
4
Image GenerationLIDC-IDRI
Realism3.48
3
Attribute PredictionLIDC-IDRI
Subtlety Accuracy90.4
3
Nodule classificationLIDC-IDRI individually confident nodules (test)
Accuracy (Dr 1)93.55
2
Patient-level Lung CT Cancer DiagnosisLIDC-IDRI doctor's individually confident CTs (patient-level split)
Dr 1 Score83.03
2
Nodule ClassificationLIDC-IDRI FP Set (test folds 1-5)
Accuracy97.02
1
Nodule ClassificationLIDC-IDRI TP Set (test folds 1-5)
Accuracy81.42
1
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