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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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發表在:Phys Med Biol
Main Authors: Jiang, Zhuoran, Yin, Fang-Fang, Ge, Yun, Ren, Lei
格式: Artigo
語言:Inglês
出版: 2020
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在線閱讀: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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