---
license: other
license_name: attribution
tags:
- medical-imaging
- segmentation
- prostate
- mri
- multi-site
task_categories:
- image-segmentation
pretty_name: Multi-Site Prostate MRI Segmentation (BIDMC / FedDG)
dataset_info:
  features:
  - name: case_id
    dtype: string
  - name: site
    dtype: string
  - name: num_slices
    dtype: int32
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: overlay
    dtype: image
  splits:
  - name: train
    num_bytes: 23756040
    num_examples: 146
  download_size: 23762490
  dataset_size: 23756040
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Multi-Site Prostate MRI Segmentation Dataset

T2-weighted prostate MRI volumes from 6 clinical sites, curated for domain generalization research in medical image segmentation.

## Dataset Details

| Property | Value |
|---|---|
| **Modality** | MRI (T2-weighted) |
| **Organ** | Prostate (whole gland) |
| **Total cases** | 116 |
| **Format** | NIfTI (.nii.gz) |

### Sites

| Site | Institution | Cases |
|---|---|---|
| RUNMC | Radboud Univ. Nijmegen Medical Centre | 30 |
| BMC | Boston Medical Center | 30 |
| I2CVB | Init. for Collaborative CV Benchmarking | 19 |
| UCL | University College London | 13 |
| BIDMC | Beth Israel Deaconess Medical Center | 12 |
| HK | Haukeland University Hospital | 12 |

## File Structure

Each site folder contains paired volumes:
- `CaseXX.nii.gz` — T2-weighted MRI volume
- `CaseXX_segmentation.nii.gz` — Binary prostate mask

## Citation

```bibtex
@inproceedings{liu2021feddg,
  title={FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space},
  author={Liu, Quande and Chen, Cheng and Qin, Jing and Dou, Qi and Heng, Pheng-Ann},
  booktitle={CVPR},
  year={2021}
}
```