A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy

PURPOSE: The challenge of cone-beam computed tomography (CBCT) is its low image quality, which limits its application for adaptive radiotherapy (ART). Despite recent substantial improvement in CBCT imaging using the deep learning method, the image quality still needs to be improved for effective ART...

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Detalles Bibliográficos
Autores principales: Chen, Xinyuan, Liu, Yuxiang, Yang, Bining, Zhu, Ji, Yuan, Siqi, Xie, Xuejie, Liu, Yueping, Dai, Jianrong, Men, Kuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454309/
https://www.ncbi.nlm.nih.gov/pubmed/36091131
http://dx.doi.org/10.3389/fonc.2022.988800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454309/
https://www.ncbi.nlm.nih.gov/pubmed/36091131
http://dx.doi.org/10.3389/fonc.2022.988800

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