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CBCT-based synthetic CT generation using deep-attention cycleGAN for pancreatic adaptive radiotherapy
PURPOSE: Current clinical application of cone-beam CT (CBCT) is limited to patient setup. Imaging artifacts and Hounsfield unit (HU) inaccuracy make the process of CBCT-based adaptive planning presently impractical. In this study, we developed a deep-learning-based approach to improve CBCT image qua...
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| 發表在: | Med Phys |
|---|---|
| Main Authors: | , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7762616/ https://ncbi.nlm.nih.gov/pubmed/32141618 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14121 |
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