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Weakly-supervised convolutional neural networks for multimodal image registration
One of the fundamental challenges in supervised learning for multimodal image registration is the lack of ground-truth for voxel-level spatial correspondence. This work describes a method to infer voxel-level transformation from higher-level correspondence information contained in anatomical labels....
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| Publicat a: | Med Image Anal |
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| Autors principals: | , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6742510/ https://ncbi.nlm.nih.gov/pubmed/30007253 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2018.07.002 |
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