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README.md
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---
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license: other
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license_name: attribution
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tags:
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- medical-imaging
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- segmentation
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- prostate
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- mri
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- multi-site
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task_categories:
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- image-segmentation
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pretty_name: "Multi-Site Prostate MRI Segmentation (BIDMC / FedDG)"
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---
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# Multi-Site Prostate MRI Segmentation Dataset
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T2-weighted prostate MRI volumes from 6 clinical sites, curated for domain generalization research in medical image segmentation.
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## Dataset Details
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| Property | Value |
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|---|---|
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| **Modality** | MRI (T2-weighted) |
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| **Organ** | Prostate (whole gland) |
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| **Total cases** | 116 |
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| **Format** | NIfTI (.nii.gz) |
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### Sites
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| Site | Institution | Cases |
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|---|---|---|
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| RUNMC | Radboud Univ. Nijmegen Medical Centre | 30 |
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| BMC | Boston Medical Center | 30 |
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| I2CVB | Init. for Collaborative CV Benchmarking | 19 |
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| UCL | University College London | 13 |
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| BIDMC | Beth Israel Deaconess Medical Center | 12 |
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| HK | Haukeland University Hospital | 12 |
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## File Structure
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Each site folder contains paired volumes:
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- `CaseXX.nii.gz` — T2-weighted MRI volume
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- `CaseXX_segmentation.nii.gz` — Binary prostate mask
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## Citation
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```bibtex
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@inproceedings{liu2021feddg,
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title={FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space},
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author={Liu, Quande and Chen, Cheng and Qin, Jing and Dou, Qi and Heng, Pheng-Ann},
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booktitle={CVPR},
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year={2021}
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}
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```
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