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.
The autopet challenge: towards fully automated lesion segmentation in oncologic pet/ct imag- ing
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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.