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mathpluscode/ACDC

ACDC Dataset This is a pre-processed version of the original Automated Cardiac Diagnosis Challenge (ACDC) dataset. Short-axis view images have been resampled to 1mm x 1mm x 10mm. Images have also been center cropped at the left ventricle mask center. The size of each slice is 192 x 192 pixels. Download the dataset using the following command: from huggingface_hub import snapshot_download data_dir = snapshot_download(repo_id="mathpluscode/ACDC", allow_patterns=["*.nii.gz"… See the full description on the dataset page: https://huggingface.co/datasets/mathpluscode/ACDC.

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1---2license: cc-by-nc-sa-4.03---4 5# ACDC Dataset6 7This is a pre-processed version of the original8[Automated Cardiac Diagnosis Challenge (ACDC) dataset](https://www.creatis.insa-lyon.fr/Challenge/acdc/databases.html).9Short-axis view images have been resampled to 1mm x 1mm x 10mm. Images have also been center cropped at the left10ventricle mask center. The size of each slice is 192 x 192 pixels.11 12Download the dataset using the following command:13 14```bash15from huggingface_hub import snapshot_download16data_dir = snapshot_download(repo_id="mathpluscode/ACDC", allow_patterns=["*.nii.gz", "*.csv"], repo_type="dataset")17```18 19where `data_dir` is the directory where the dataset will be downloaded. The data structure is as follows:20 21```22train.csv23train/24├── patient001/25│   ├── patient001_frame01.nii.gz26│   ├── patient001_frame01_gt.nii.gz27│   ├── patient001_frame12.nii.gz28│   ├── patient001_frame12_gt.nii.gz29├── patient002/30├── ...31test/32├── patient101/33├── patient102/34├── ...35```36