DSB17

Curated release of Data Science Bowl 2017–related public thoracic CT data hosted for research use.

Dataset viewer (Hugging Face)

The Dataset viewer loads only data/train-00000-of-00001.parquet: a tabular index (subject_id, ct_path, original_name, volume_shape). NIfTI volumes are not rendered in the browser. Download ct.nii.gz from the paths in ct_path on the Files tab.

Row-level metadata from the previous root metadata.csv is preserved as case_index.csv (same columns: original_name, renamed_id, shape).

OpenVAE / SMILE project

This dataset is published alongside the OpenVAE open-source stack for medical CT/MRI latent modeling and diffusion-style pipelines. The same public cohorts are used in our benchmarking and demo workflows.

• OpenVAE (code): github.com/KumaKuma2002/OpenVAE
• OpenVAE (pretrained VAEs on Hugging Face): huggingface.co/SMILE-project/OpenVAE

Main paper (OpenVAE / SUMI): arXiv:2604.07329 — Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling · PDF

Citation

Original data (required)

The underlying data comes from the Kaggle Data Science Bowl 2017 lung cancer detection challenge. If you use this release, please cite the original challenge and follow the data provider's license and attribution requirements:

@misc{dsb2017,
  title        = {Data Science Bowl 2017},
  author       = {{Kaggle} and {Booz Allen Hamilton}},
  year         = {2017},
  howpublished = {\url{https://www.kaggle.com/c/data-science-bowl-2017}},
  note         = {Online challenge, accessed via Kaggle}
}

Our work

If you find this curated release useful in your work, please also consider citing our paper:

@misc{liu2026distillingphotoncountingctroutine,
  title={Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling},
  author={Junqi Liu and Xinze Zhou and Wenxuan Li and Scott Ye and Arkadiusz Sitek and Xiaofeng Yang and Yucheng Tang and Daguang Xu and Kai Ding and Kang Wang and Yang Yang and Alan L. Yuille and Zongwei Zhou},
  year={2026},
  eprint={2604.07329},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2604.07329},
}

Related (earlier anatomy-aware contrast diffusion): arXiv:2512.07251