A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images

BACKGROUND: Four-dimensional cone-beam computed tomography (4D-CBCT) can visualize moving tumors, thus adaptive radiation therapy (ART) could be improved if 4D-CBCT were used. However, 4D-CBCT images suffer from severe imaging artifacts. The aim of this study is to investigate the use of synthetic 4...

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Detalles Bibliográficos
Autores principales: Usui, Keisuke, Ogawa, Koichi, Goto, Masami, Sakano, Yasuaki, Kyougoku, Shinsuke, Daida, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991563/
https://www.ncbi.nlm.nih.gov/pubmed/35392947
http://dx.doi.org/10.1186/s13014-022-02042-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991563/
https://www.ncbi.nlm.nih.gov/pubmed/35392947
http://dx.doi.org/10.1186/s13014-022-02042-1

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