| --- |
| license: apache-2.0 |
| --- |
| |
| ### Dataset Download |
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|
| I created a convenient PNG-formatted version of the ACDC dataset. |
| This version was converted from the files provided in the SSL4MIS repository: |
| [SSL4MIS ACDC Version](https://github.com/HiLab-git/SSL4MIS/tree/master/data/ACDC) |
| |
| If you use the dataset in your research, please make sure to cite the **original ACDC paper**. |
|
|
| ### Dataset Structure |
|
|
| ```bash |
| XXX/ |
| │ |
| ├── train-label/ # Labeled training set |
| │ ├── image/ # Input images (.png) |
| │ └── mask/ # Corresponding segmentation masks (.png) |
| │ |
| ├── train-unlabel/ # Unlabeled training set |
| │ └── image/ # Images without ground truth masks |
| │ └── mask/ |
| │ |
| ├── val/ # Validation set |
| │ ├── image/ # Validation images (.png) |
| │ └── mask/ # Validation masks (.png) |
| │ |
| └── test/ # Test set |
| ├── image/ # Test images (.png) |
| └── mask/ # Test masks (optional) |
| ``` |
|
|
| This dataset is introduced and used in the following paper: |
|
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| **VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation** |
| arXiv: https://arxiv.org/abs/2601.10124 |
|
|
| check: https://github.com/script-Yang/VQ-Seg |
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|
