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# MRGen: Segmentation Data Engine for Underrepresented MRI Modalities |
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This repository contains the curated MedGen-1M dataset proposed in MRGen: https://arxiv.org/abs/2412.04106/. |
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## Some Information |
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[Project Page](https://haoningwu3639.github.io/MRGen/) $\cdot$ [Paper](https://arxiv.org/abs/2412.04106/) $\cdot$ [Dataset](https://huggingface.co/datasets/haoningwu/MRGen-DB) $\cdot$ [Checkpoints](https://huggingface.co/haoningwu/MRGen) |
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## Dataset |
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Please check out [MRGen-DB](https://huggingface.co/datasets/haoningwu/MRGen-DB) to download our curated dataset, including two parts: `radiopaedia_data` and `conditional_dataset`. |
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For the conditional dataset, we have directly provided our processed data, including the raw image, mask annotations, and text descriptions. |
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As described in our paper, considering the data privacy concerns of [Radiopaedia](radiopaedia.org), we only release the JSON files of this part here. |
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For each case, the format is represented as `./radiopaedia/{patient_id}/{case_id}/{volume_id}/{slice_id}.jpeg`, for example, `./radiopaedia/2564/1/MRI_4/1.jpeg`. |
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This format allows you to locate the corresponding original volume through the `link` provided in our json files. |
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After obtaining official authorization from Radiopaedia, you may download the data corresponding to the JSON file on your own. |
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Alternatively, you can send the authorization via email to us (`[email protected]` or `[email protected]`) to obtain the download link for the image data in our MRGen-DB. |
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## Citation |
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If you use this dataset for your research or project, please cite: |
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@misc{wu2024mrgen, |
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author = {Wu, Haoning and Zhao, Ziheng and Zhang, Ya and Xie, Weidi and Wang, Yanfeng}, |
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title = {MRGen: Segmentation Data Engine for Underrepresented MRI Modalities}, |
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journal = {arXiv preprint arXiv:2412.04106}, |
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year = {2024}, |
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} |
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## Contact |
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If you have any questions, please feel free to contact [email protected] or Zhao[email protected]. |