Datasets:
metadata
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 volumeCaseXX_segmentation.nii.gz— Binary prostate mask
Citation
@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}
}