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Enhancing online adaptive radiotherapy with uncertainty based segmentation error and out-of-distribution detection

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Purpose: Anatomical segmentation is one of the biggest sources of uncertainty in the online adaptive radiotherapy workflow. The aim of this study was to investigate the relation between the estimated uncertainty in deep learning ... ...