Applying deep generative model in plan review of intensity modulated radiotherapy

Background Plan review is critical for safely delivering radiation dose to a patient under radiotherapy and mainly performed by medical physicist in routine clinical practice. Recently, the deep‐learning models have been used to assist this manual process. As black‐box models the reason for their pr...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 52; H. 6; S. 4630 - 4641
Hauptverfasser:	Huang, Peng, Shang, Jiawen, Fan, Yuhan, Chang, Zhixing, Xu, Yingjie, Zhang, Ke, Hu, Zhihui, Dai, Jianrong, Yan, Hui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.06.2025
Schlagworte:	adversarial autoencoder networks anomaly detection Deep Learning Humans plan review radiotherapy Radiotherapy Planning, Computer-Assisted - methods Radiotherapy, Intensity-Modulated plan review radiotherapy deep learning anomaly detection adversarial autoencoder networks
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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