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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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| Publicat a: | Cureus |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Cureus
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6021187/ https://ncbi.nlm.nih.gov/pubmed/29963342 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7759/cureus.2548 |
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