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LungRegNet: an unsupervised deformable image registration method for 4D-CT lung
PURPOSE: To develop an accurate and fast deformable image registration (DIR) method for 4D-CT lung images. Deep learning-based methods have the potential to quickly predict the deformation vector field (DVF) in a few forward predictions. We have developed an unsupervised deep learning method for 4D-...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7165051/ https://ncbi.nlm.nih.gov/pubmed/32017141 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14065 |
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