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Cone Beam Computed Tomography Image Quality Improvement Using a Deep Convolutional Neural Network

Introduction Cone beam computed tomography (CBCT) plays an important role in image-guided radiation therapy (IGRT), while having disadvantages of severe shading artifact caused by the reconstruction using scatter contaminated and truncated projections. The purpose of this study is to develop a deep...

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Detalles Bibliográficos
Autores principales:	Kida, Satoshi, Nakamoto, Takahiro, Nakano, Masahiro, Nawa, Kanabu, Haga, Akihiro, Kotoku, Jun'ichi, Yamashita, Hideomi, Nakagawa, Keiichi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cureus 2018
Materias:	Medical Physics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021187/ https://www.ncbi.nlm.nih.gov/pubmed/29963342 http://dx.doi.org/10.7759/cureus.2548

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