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Author

D. Thorwarth

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Open access Oct 2026

Uncertainty-aware auto-segmentation enables adaptive radiotherapy planning of liver metastases.

PURPOSE Despite remarkable auto-segmentation performance and growing clinical adoption, models frequently fail to generalize beyond the training distribution. Therefore, this study aimed to develop and validate an uncertainty-aware segmentation pipeline that yields high delineation accuracy for liver cancer patients an...

D. Langner, C. Gani, S. Boeke et al. · 0 citations

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