Deep learning segmentation of organs‐at‐risk with integration into clinical workflow for pediatric brain radiotherapy
Lina Mekki,
Sahaja Acharya,
Matthew Ladra
et al.
Abstract:PurposeRadiation therapy (RT) of pediatric brain cancer is known to be associated with long‐term neurocognitive deficits. Although target and organs‐at‐risk (OARs) are contoured as part of treatment planning, other structures linked to cognitive functions are often not included. This paper introduces a novel automatic segmentation tool specifically designed for the unique challenges posed by pediatric patients undergoing brain RT, as well as its seamless integration into the existing clinical workflow.Methods … Show more
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