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--- |
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annotations_creators: |
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- no-annotation |
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language: [] |
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language_creators: |
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- expert-generated |
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license: |
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- cc-by-sa-3.0 |
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multilinguality: [] |
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pretty_name: IXI-2D |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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tags: |
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- medical imaging |
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- mri |
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- brains |
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task_categories: |
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- unconditional-image-generation |
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task_ids: [] |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 111340223 |
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num_examples: 25447 |
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- name: validation |
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num_bytes: 12463820 |
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num_examples: 2828 |
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download_size: 133058419 |
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dataset_size: 123804043 |
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--- |
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# Dataset Card for IXI2D |
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### Dataset Summary |
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This IXI2D dataset contains around 28000 2D axial slices extracted from 600 MRI images of healthy subjects. Each MRI volume was skull-stripped, white matter normalized and registered to the ['fsaverage'](https://surfer.nmr.mgh.harvard.edu/fswiki/FsAverage) template using affine transformation. The slices were automatically selected based on the fraction of the amount of brain present in the image. |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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Thanks to [@iamkzntsv](https://github.com/iamkzntsv) for adding this dataset. |
