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Datasets:
MedOtter
/
BIDMC

Tasks:
Image Segmentation
Modalities:
Image
Text
Formats:
parquet
Size:
< 1K
Tags:
medical-imaging
segmentation
prostate
mri
multi-site
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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  1. BMC/Case05.nii.gz +3 -0
  2. BMC/Case17.nii.gz +3 -0
  3. BMC/Case21.nii.gz +3 -0
  4. HK/Case38.nii.gz +3 -0
  5. HK/Case38_segmentation.nii.gz +3 -0
  6. HK/Case39.nii.gz +3 -0
  7. HK/Case39_segmentation.nii.gz +3 -0
  8. HK/Case40.nii.gz +3 -0
  9. HK/Case40_segmentation.nii.gz +3 -0
  10. HK/Case41.nii.gz +3 -0
  11. HK/Case41_segmentation.nii.gz +3 -0
  12. HK/Case42.nii.gz +3 -0
  13. HK/Case42_segmentation.nii.gz +3 -0
  14. HK/Case43.nii.gz +3 -0
  15. HK/Case43_segmentation.nii.gz +3 -0
  16. HK/Case44.nii.gz +3 -0
  17. HK/Case44_segmentation.nii.gz +3 -0
  18. HK/Case45.nii.gz +3 -0
  19. HK/Case45_segmentation.nii.gz +3 -0
  20. HK/Case46.nii.gz +3 -0
  21. HK/Case46_segmentation.nii.gz +3 -0
  22. HK/Case47.nii.gz +3 -0
  23. HK/Case47_segmentation.nii.gz +3 -0
  24. HK/Case48.nii.gz +3 -0
  25. HK/Case48_segmentation.nii.gz +3 -0
  26. HK/Case49.nii.gz +3 -0
  27. HK/Case49_segmentation.nii.gz +3 -0
  28. README.md +79 -0
  29. RUNMC/Case00.nii.gz +3 -0
  30. RUNMC/Case04_segmentation.nii.gz +3 -0
  31. RUNMC/Case05_segmentation.nii.gz +3 -0
  32. RUNMC/Case06_segmentation.nii.gz +3 -0
  33. RUNMC/Case07_segmentation.nii.gz +3 -0
  34. RUNMC/Case08_segmentation.nii.gz +3 -0
  35. RUNMC/Case09_segmentation.nii.gz +3 -0
  36. RUNMC/Case10_segmentation.nii.gz +3 -0
  37. RUNMC/Case11_segmentation.nii.gz +3 -0
  38. RUNMC/Case12.nii.gz +3 -0
  39. RUNMC/Case12_segmentation.nii.gz +3 -0
  40. RUNMC/Case13_segmentation.nii.gz +3 -0
  41. RUNMC/Case14_segmentation.nii.gz +3 -0
  42. RUNMC/Case15_segmentation.nii.gz +3 -0
  43. RUNMC/Case16_segmentation.nii.gz +3 -0
  44. RUNMC/Case17_segmentation.nii.gz +3 -0
  45. RUNMC/Case18.nii.gz +3 -0
  46. RUNMC/Case24.nii.gz +3 -0
  47. RUNMC/Case26.nii.gz +3 -0
  48. RUNMC/Case28.nii.gz +3 -0
  49. data/train-00000-of-00001.parquet +3 -0
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+ ---
2
+ license: other
3
+ license_name: attribution
4
+ tags:
5
+ - medical-imaging
6
+ - segmentation
7
+ - prostate
8
+ - mri
9
+ - multi-site
10
+ task_categories:
11
+ - image-segmentation
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+ pretty_name: Multi-Site Prostate MRI Segmentation (BIDMC / FedDG)
13
+ dataset_info:
14
+ features:
15
+ - name: case_id
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+ dtype: string
17
+ - name: site
18
+ dtype: string
19
+ - name: num_slices
20
+ dtype: int32
21
+ - name: image
22
+ dtype: image
23
+ - name: mask
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+ dtype: image
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+ - name: overlay
26
+ dtype: image
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+ splits:
28
+ - name: train
29
+ num_bytes: 23756040
30
+ num_examples: 146
31
+ download_size: 23762490
32
+ dataset_size: 23756040
33
+ configs:
34
+ - config_name: default
35
+ data_files:
36
+ - split: train
37
+ path: data/train-*
38
+ ---
39
+
40
+ # Multi-Site Prostate MRI Segmentation Dataset
41
+
42
+ T2-weighted prostate MRI volumes from 6 clinical sites, curated for domain generalization research in medical image segmentation.
43
+
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+ ## Dataset Details
45
+
46
+ | Property | Value |
47
+ |---|---|
48
+ | **Modality** | MRI (T2-weighted) |
49
+ | **Organ** | Prostate (whole gland) |
50
+ | **Total cases** | 116 |
51
+ | **Format** | NIfTI (.nii.gz) |
52
+
53
+ ### Sites
54
+
55
+ | Site | Institution | Cases |
56
+ |---|---|---|
57
+ | RUNMC | Radboud Univ. Nijmegen Medical Centre | 30 |
58
+ | BMC | Boston Medical Center | 30 |
59
+ | 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 |
62
+ | HK | Haukeland University Hospital | 12 |
63
+
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+ ## File Structure
65
+
66
+ Each site folder contains paired volumes:
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+ - `CaseXX.nii.gz` — T2-weighted MRI volume
68
+ - `CaseXX_segmentation.nii.gz` — Binary prostate mask
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+
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+ ## Citation
71
+
72
+ ```bibtex
73
+ @inproceedings{liu2021feddg,
74
+ title={FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space},
75
+ author={Liu, Quande and Chen, Cheng and Qin, Jing and Dou, Qi and Heng, Pheng-Ann},
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+ booktitle={CVPR},
77
+ year={2021}
78
+ }
79
+ ```
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