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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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+
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+ # Multi-Site Prostate MRI Segmentation Dataset
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+
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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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+
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+ ## Dataset Details
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+
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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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+
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+ ### Sites
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+
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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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+
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+ ## File Structure
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+
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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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+
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+ ## Citation
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+
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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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+ ```