Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net

In online adaptive radiotherapy (ART), quick computation-based secondary dose verification is crucial for ensuring the quality of ART plans while the patient is positioned on the treatment couch. However, traditional dose verification algorithms are generally time-consuming, reducing the efficiency...

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Hauptverfasser:	Shunyu Yan, Austen Maniscalco, Biling Wang, Dan Nguyen, Steve Jiang, Chenyang Shen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IOP Publishing 2024-01-01
Schriftenreihe:	Machine Learning: Science and Technology
Schlagworte:	secondary dose verification real-time calculation artificial intelligence deep learning prostate cancer
Online-Zugang:	https://doi.org/10.1088/2632-2153/ad829e
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