Combined training on public and private PET-CT data gives the most balanced tumor segmentation across oesophageal, lung, and AutoPET test sets, supporting data diversity over architecture.
Results from the autopet challenge on fully automated lesion segmentation in oncologic pet/ct imaging
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Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets
Combined training on public and private PET-CT data gives the most balanced tumor segmentation across oesophageal, lung, and AutoPET test sets, supporting data diversity over architecture.