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Papers Benchmarks Datasets Tasks

VinDr dataset and benchmarks · SOTA2 Research

Research Datasets

VinDr

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Mammography Classification

VinDr

0.866ROC AUC

35

Computer-Aided Diagnosis (CAD)

VinDr

0.846AUC

32

Density Classification

VinDr

88Accuracy

25

Mass Classification

VinDr

0.88AUC

25

Calcification Classification

VinDr

0.98AUC

25

Mass Localization

VinDr held-out (test)

0.58mAP

20

Calcification Localization

VinDr held-out (test)

35mAP

20

Open-ended Medical Visual Question Answering

VinDr

54.2F1 Score

13

Yes/No Medical Visual Question Answering

VinDr

72.8F1 Score

13

Calcification Classification

VinDr Calcification

96.7AUC

13

Mass Classification

VinDr Mass

0.814AUC

13

BI-RADS-based malignancy classification

VinDr (test)

92AUC

13

Malignancy Classification

VINDR

85.32Accuracy

12

Disease Classification

VinDr

0.925AUROC

12

Medical Visual Question Answering

VinDr Visual Perturbation (test)

70.1VPT Score

9

Medical Visual Question Answering

VinDr Textual Perturbation (test)

77Anatomy Accuracy

9

Pathology Classification

VinDr NIH (test)

83.6At. Accuracy

7

Pathology Classification

VinDr CheXpert (test)

82Atelectasis Accuracy

7

VinDr

90.9AUC

6

Image Generation

VinDr (test)

8.36FID

5

Open-ended Question Answering

VinDr subset

54.2F1 Score

5

Binary Question Answering (Yes/No)

VinDr (subset)

72.8F1 Score

5

Chest X-ray classification

VinDr (test)

0.68Atelectasis AUC

4

Object Detection

VinDr Mass

28.2mAP

4

Object Detection

VinDr Calcification

38.4mAP

4

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Object Detection Medical Visual Question Answering Pathology Classification Calcification Classification Mass Classification

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