Datasets › RAOS
RAOS (Rethinking Abdominal Organ Segmentation)
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases.
This dataset consists of 413 real clinical CT scans and 413x9 MR scans, all 19 organs were annotated by a senior oncologist (MD. Wenjun Liao, 10 years experiment). some challenging cases in clinical practice can help evaluate the generalization and robustness of deep learning methods. Some organ annotations not present in previous public datasets (such as prostate, seminal vesicles, etc).
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
GPL-3.0 license
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- RAOS
1 variant name, as the archive lists them.
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