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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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| Udgivet i: | Phys Med Biol |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2020
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| Fag: | |
| Online adgang: | 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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