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CVC-ClinicDB

Benchmarks

Task NameDataset NameSOTA ResultTrend
Polyp SegmentationCVC-ClinicDB (test)
DSC94.69
196
Polyp SegmentationCVC-ClinicDB
Dice Coefficient95.1
81
Medical Image SegmentationCVC-ClinicDB
Dice Score95.58
68
Medical Image SegmentationCVC-ClinicDB (test)
Dice95.43
60
Binary SegmentationCVC-ClinicDB (test)
DSC91.91
26
Polyp SegmentationCVC-ClinicDB 60 random images
mDice94
20
Colon Polyp SegmentationCVC-ClinicDB (5-fold cross-val)
mIoU90.7
19
Polyp SegmentationCVC-ClinicDB (seen)
mDice95.8
17
Polyp segmentationCVC-ClinicDB In-Domain
Dice86.94
13
Anomaly SegmentationCVC-ClinicDB
AUROC87.3
13
Polyp SegmentationCVC-ClinicDB cross-dataset models trained on Kvasir-SEG (test)
DSC79.21
13
Polyp SegmentationCVC-ClinicDB 5 (test)
DSC93.9
11
Polyp DetectionCVC-ClinicDB Dirty (test)
Precision83.6
10
Polyp DetectionCVC-ClinicDB Clean (test)
Precision89.1
10
Polyp SegmentationCVC-ClinicDB 12 (test)
Accuracy98.83
10
Polyp SegmentationCVC-ClinicDB 1 (test)
mDice93.3
7
Semantic SegmentationCVC-ClinicDB (val)
Dice95.6
7
Pixel-level Anomaly DetectionCVC-ClinicDB
AUROC89.6
6
SegmentationCVC-ClinicDB (test)
mIoU88.76
6
Polyp SegmentationCVC-ClinicDB 2 (test)
mDice94.69
6
Polyp SegmentationCVC-ClinicDB cross-dataset trained on Kvasir-SEG (test)
mIoU74.44
6
Object DetectionCVC-ClinicDB (val)
Precision98.4
5
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