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A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration
To achieve accurate and fast deformable image registration (DIR) for pulmonary CT, we proposed a Multi-scale DIR framework with unsupervised Joint training of Convolutional Neural Network (MJ-CNN). MJ-CNN contains three models at multi-scale levels for a coarse-to-fine DIR to avoid being trapped in...
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| Publicado no: | Phys Med Biol |
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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/PMC7255696/ https://ncbi.nlm.nih.gov/pubmed/31783390 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab5da0 |
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