
# Dataset Card for IXI2D

### Dataset Summary

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.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@iamkzntsv](https://github.com/iamkzntsv) for adding this dataset.
task_categories:unconditional-image-generation annotations_creators:no-annotation language_creators:expert-generated size_categories:10K<n<100K source_datasets:original license:cc-by-sa-3.0 medical imaging mri brains region:us
{"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": [], "license": ["cc-by-sa-3.0"], "multilinguality": [], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["unconditional-image-generation"], "task_ids": [], "pretty_name": "IXI-2D", "tags": ["medical imaging", "mri", "brains"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 111340223, "num_examples": 25447}, {"name": "validation", "num_bytes": 12463820, "num_examples": 2828}], "download_size": 133058419, "dataset_size": 123804043}}
TAGS
#task_categories-unconditional-image-generation #annotations_creators-no-annotation #language_creators-expert-generated #size_categories-10K<n<100K #source_datasets-original #license-cc-by-sa-3.0 #medical imaging #mri #brains #region-us 


# Dataset Card for IXI2D

### Dataset Summary

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' template using affine transformation. The slices were automatically selected based on the fraction of the amount of brain present in the image.

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions

Thanks to @iamkzntsv for adding this dataset.
# Dataset Card for IXI2D ### Dataset Summary

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' template using affine transformation. The slices were automatically selected based on the fraction of the amount of brain present in the image. ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @iamkzntsv for adding this dataset.
TAGS
#task_categories-unconditional-image-generation #annotations_creators-no-annotation #language_creators-expert-generated #size_categories-10K<n<100K #source_datasets-original #license-cc-by-sa-3.0 #medical imaging #mri #brains #region-us 
 # Dataset Card for IXI2D ### Dataset Summary

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' template using affine transformation. The slices were automatically selected based on the fraction of the amount of brain present in the image. ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @iamkzntsv for adding this dataset.