RAOS

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).