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4D-CT deformable image registration using multiscale unsupervised deep learning
Deformable image registration (DIR) of 4D-CT images is important in multiple radiation therapy applications including motion tracking of soft tissue or fiducial markers, target definition, image fusion, dose accumulation and treatment response evaluations. It is very challenging to accurately and qu...
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| 出版年: | Phys Med Biol |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7775640/ https://ncbi.nlm.nih.gov/pubmed/32097902 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab79c4 |
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