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Papers Benchmarks Datasets Tasks

ACDC dataset and benchmarks – Page 6 · SOTA2 Research

Research Datasets

ACDC

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Image registration

ACDC (test)

0.809Dice LV

5

Cardiac MRI Segmentation

ACDC 2017 (train)

89.8DSC

5

Left Ventricle Segmentation

ACDC (30 MRI slices)

97.21Mean Dice

4

Medical Image Segmentation

ACDC zero-shot (test)

90Dice Score

4

Medical Image Segmentation

ACDC

4Mean DSC Improvement

4

Synthetic Image Generation

ACDC Snow

100CLIP Accuracy

4

Semantic Segmentation

ACDC 41

66.2mIoU

4

4D MRI Reconstruction

ACDC cardiac dataset

0.007MAE

4

Semantic Segmentation

ACDC 34 (val)

69.1mIoU

4

Cardiac Segmentation

ACDC 100 samples (unseen site)

79.2LV Segmentation Score

4

Semantic Segmentation

ACDC Full supervision

83.7mIoU

3

Semantic Segmentation

ACDC 1/2 annotation ratio

80.3mIoU

3

Semantic Segmentation

ACDC 1/8 annotation ratio

69.2mIoU

3

Object Detection

ACDC Snow (test)

0.586mAP

3

Object Detection

ACDC Rain (test)

43.6mAP

3

Object Detection

ACDC Night (test)

37.6mAP

3

Object Detection

ACDC Fog (test)

68.6mAP

3

ACDC RV (End-Systolic (ES))

84RV ES Base Score

3

ACDC RV (End-Diastolic (ED))

91.3RV ED Base Score

3

Medical Image Sequence Regression

ACDC

0.283NRMSE

3

Semantic Segmentation

ACDC (Balanced)

86.5Dice

3

Semantic Segmentation

ACDC Snow

39.28mIoU (source-only)

2

Cardiac MR Registration

ACDC ED to ES

82.09LV Score

2

Cardiac MR Registration

ACDC ES to ED

90.49LV Volume Score

2

Cardiac MR Registration

ACDC ES

8.23LVEF MAE

2

Page 6 of 7

Popular tasks

Medical Image Segmentation Semantic segmentation Object Detection Cardiac Segmentation Segmentation

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