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Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography

PURPOSE: The incorporation of cone‐beam computed tomography (CBCT) has allowed for enhanced image‐guided radiation therapy. While CBCT allows for daily 3D imaging, images suffer from severe artifacts, limiting the clinical potential of CBCT. In this work, a deep learning‐based method for generating...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Med Phys
Hauptverfasser: Harms, Joseph, Lei, Yang, Wang, Tonghe, Zhang, Rongxiao, Zhou, Jun, Tang, Xiangyang, Curran, Walter J., Liu, Tian, Yang, Xiaofeng
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7771209/
https://ncbi.nlm.nih.gov/pubmed/31206709
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13656
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