SynthRAD2025 training set (v2), extracted
Unofficial mirror of the SynthRAD2025 Grand Challenge training data, Zenodo record
15373853 (v2: CT and CBCT clipped to [-1024, 3071] HU), extracted and
checked so that cases can be downloaded selectively. The files are the original .mha images, unchanged; each
archive was verified against the MD5 published by Zenodo and every uploaded file against its local size.
Licence: CC BY-NC 4.0, as the original record: non-commercial use only, with attribution. Cite the SynthRAD2025 dataset (Thummerer et al., 2025, doi:10.5281/zenodo.15373853); challenge site: synthrad2025.grand-challenge.org.
Layout
Task1/<region>/<case_id>/{ct,mask,mr}.mha MR → CT
Task2/<region>/<case_id>/{ct,mask,cbct}.mha CBCT → CT
Task<k>/<region>/overview/... overview images and acquisition parameters of the release
Task<k>/zenodo.json source archive, MD5 and counts
manifest.csv integrity check of every case (geometry, spacing, mask, HU range)
Regions: AB (abdomen), HN (head and neck), TH (thorax); case_id = task, region, centre letter, number.
| Task | AB | HN | TH | Total |
|---|---|---|---|---|
| Task1 (MR → CT) | 175 | 156 | 182 | 513 |
| Task2 (CBCT → CT) | 256 | 260 | 258 | 774 |
1287/1287 cases pass the integrity check of manifest.csv.
Download
from huggingface_hub import snapshot_download
snapshot_download("developper669/synthrad2025", repo_type="dataset", revision="v2", local_dir="synthrad2025",
allow_patterns=["manifest.csv", "Task1/HN/**"]) # e.g. task 1, head and neck only
With sct-range: sctrange-download --root synthrad2025 --task 1.
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