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• W4200505986 abstract "Abstract This document reports the design of a retrospective study to validate the clinical acceptability of a deep-learning-based model for the autosegmentation of organs-at-risk (OARs) for use in radiotherapy treatment planning for head & neck (H&N) cancer patients." @default.
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• W4200505986 date "2021-12-08" @default.
• W4200505986 modified "2023-10-14" @default.
• W4200505986 title "Study design: Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning." @default.
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• W4200505986 doi "https://doi.org/10.1101/2021.12.07.21266421" @default.
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