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Datasets:
Angelou0516
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SPIDER

Tasks:
Image Segmentation
Modalities:
Image
Text
Formats:
parquet
Size:
< 1K
Tags:
medical
mri
lumbar-spine
segmentation
vertebrae
intervertebral-disc
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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Upload SPIDER lumbar spine MR dataset (Zenodo v4)

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-segmentation
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+ tags:
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+ - medical
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+ - mri
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+ - lumbar-spine
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+ - segmentation
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+ - vertebrae
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+ - intervertebral-disc
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+ - spinal-canal
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # SPIDER — Lumbar Spine Segmentation in MR Images
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+
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+ Public release of the SPIDER dataset: 218 patients, 447 sagittal lumbar-spine MRI series with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. Source: van der Graaf et al., *Scientific Data* 11:264 (2024).
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+
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+ ## Contents
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+
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+ | Path | Description |
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+ |------|-------------|
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+ | `images/images/` | 447 `.mha` MRI volumes — naming `{patient_id}_{t1|t2|t2_SPACE}.mha` (196 T1 + 210 T2 + 41 T2-SPACE) |
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+ | `masks/masks/` | 447 `.mha` reference segmentations, one per image |
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+ | `overview.csv` | Per-series metadata: subset (training/validation), sex, vendor, sequence parameters, etc. |
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+ | `radiological_gradings.csv` | Per-IVD radiological gradings (Modic, Pfirrmann, herniation, etc.) |
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+
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+ ## Splits
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+
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+ Split assignment is in `overview.csv` column `subset`:
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+
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+ - **training** — 360 series
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+ - **validation** — 87 series
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+
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+ (The Grand Challenge hidden test set of 39 patients is **not** included; it is only accessible via https://spider.grand-challenge.org/.)
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+
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+ ## Label Scheme (masks)
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+
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+ - Vertebrae: sequential integer labels (numbered top-down)
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+ - IVDs: labeled by the vertebra immediately above (lowest IVD = 201, next up = 202, ...)
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+ - Spinal canal: 100
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+ - Background: 0
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+
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+ ## Recommended Ground Truth
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+
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+ Use `masks/masks/`. The 41 T2-SPACE series are the most authoritative tier (fully manual annotation on near-isotropic, higher-resolution voxels). T1/T2 masks were produced by iterative semi-automatic refinement under MSK-radiologist supervision.
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+
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+ ## Source
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+
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+ - **Paper**: van der Graaf, J. W., et al. (2024). Lumbar spine segmentation in MR images: a dataset and a public benchmark. *Sci Data* 11, 264. doi:10.1038/s41597-024-03090-w
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+ - **Original Zenodo**: https://zenodo.org/records/10159290
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+ - **Grand Challenge**: https://spider.grand-challenge.org/
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+ - **License**: CC-BY 4.0
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+
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+ This HuggingFace mirror reproduces the Zenodo v4 release (Nov 2023, modified Mar 2024) without modification.
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