# SKM-TEA Sample Data
This dataset consists of a subset of scans from the [SKM-TEA dataset](https://arxiv.org/abs/2203.06823). It can be used to build tutorials / demos with the SKM-TEA dataset.

To access to the full dataset, please follow instructions on [Github](https://github.com/StanfordMIMI/skm-tea/blob/main/DATASET.md).

**NOTE**: This dataset subset *should not* be used for reporting/publishing metrics. All metrics should be computed on the full SKM-TEA test split.

## Details
This mini dataset (~30GB) consists of 2 training scans, 1 validation scan, and 1 test scan from the SKM-TEA dataset. HDF5 files for the Raw Data Track are [lzf-compressed](http://www.h5py.org/lzf/) to reduce size while maximizing speed for decompression.

## License
By using this dataset, you agree to the [Stanford University Dataset Research Use Agreement](https://stanfordaimi.azurewebsites.net/datasets/4aaeafb9-c6e6-4e3c-9188-3aaaf0e0a9e7).

## Reference
If you use this dataset, please reference the SKM-TEA paper:
```
@inproceedings{
desai2021skmtea,
title={{SKM}-{TEA}: A Dataset for Accelerated {MRI} Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation},
author={Arjun D Desai and Andrew M Schmidt and Elka B Rubin and Christopher Michael Sandino and Marianne Susan Black and Valentina Mazzoli and Kathryn J Stevens and Robert Boutin and Christopher Re and Garry E Gold and Brian Hargreaves and Akshay Chaudhari},
booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)},
year={2021},
url={https://openreview.net/forum?id=YDMFgD_qJuA}
}
```

language:en license:other mri quantitative mri reconstruction segmentation detection arxiv:2203.06823 region:us
{"language": "en", "license": "other", "tags": ["mri", "quantitative mri", "reconstruction", "segmentation", "detection"]}
TAGS
#language-English #license-other #mri #quantitative mri #reconstruction #segmentation #detection #arxiv-2203.06823 #region-us 

# SKM-TEA Sample Data
This dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.

To access to the full dataset, please follow instructions on Github.

NOTE: This dataset subset *should not* be used for reporting/publishing metrics. All metrics should be computed on the full SKM-TEA test split.

## Details
This mini dataset (~30GB) consists of 2 training scans, 1 validation scan, and 1 test scan from the SKM-TEA dataset. HDF5 files for the Raw Data Track are lzf-compressed to reduce size while maximizing speed for decompression.

## License
By using this dataset, you agree to the Stanford University Dataset Research Use Agreement.

## Reference
If you use this dataset, please reference the SKM-TEA paper:


# SKM-TEA Sample Data
This dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.

To access to the full dataset, please follow instructions on Github.

NOTE: This dataset subset *should not* be used for reporting/publishing metrics. All metrics should be computed on the full SKM-TEA test split. ## Details
This mini dataset (~30GB) consists of 2 training scans, 1 validation scan, and 1 test scan from the SKM-TEA dataset. HDF5 files for the Raw Data Track are lzf-compressed to reduce size while maximizing speed for decompression. ## License
By using this dataset, you agree to the Stanford University Dataset Research Use Agreement. ## Reference
If you use this dataset, please reference the SKM-TEA paper:
TAGS
#language-English #license-other #mri #quantitative mri #reconstruction #segmentation #detection #arxiv-2203.06823 #region-us 
 # SKM-TEA Sample Data
This dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.

To access to the full dataset, please follow instructions on Github.

NOTE: This dataset subset *should not* be used for reporting/publishing metrics. All metrics should be computed on the full SKM-TEA test split. ## Details
This mini dataset (~30GB) consists of 2 training scans, 1 validation scan, and 1 test scan from the SKM-TEA dataset. HDF5 files for the Raw Data Track are lzf-compressed to reduce size while maximizing speed for decompression. ## License
By using this dataset, you agree to the Stanford University Dataset Research Use Agreement. ## Reference
If you use this dataset, please reference the SKM-TEA paper:
passage: TAGS
#language-English #license-other #mri #quantitative mri #reconstruction #segmentation #detection #arxiv-2203.06823 #region-us 
# SKM-TEA Sample Data
This dataset consists of a subset of scans from the SKM-TEA dataset. It can be used to build tutorials / demos with the SKM-TEA dataset.

To access to the full dataset, please follow instructions on Github.

NOTE: This dataset subset *should not* be used for reporting/publishing metrics. All metrics should be computed on the full SKM-TEA test split.## Details
This mini dataset (~30GB) consists of 2 training scans, 1 validation scan, and 1 test scan from the SKM-TEA dataset. HDF5 files for the Raw Data Track are lzf-compressed to reduce size while maximizing speed for decompression.## License
By using this dataset, you agree to the Stanford University Dataset Research Use Agreement.## Reference
If you use this dataset, please reference the SKM-TEA paper: