2023
DOI: 10.1002/mp.16799
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Single patient learning for adaptive radiotherapy dose prediction

Austen Maniscalco,
Xiao Liang,
Mu‐Han Lin
et al.

Abstract: BackgroundThroughout a patient's course of radiation therapy, maintaining accuracy of their initial treatment plan over time is challenging due to anatomical changes‐for example, stemming from patient weight loss or tumor shrinkage. Online adaptation of their RT plan to these changes is crucial, but hindered by manual and time‐consuming processes. While deep learning (DL) based solutions have shown promise in streamlining adaptive radiation therapy (ART) workflows, they often require large and extensive datase… Show more

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