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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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| Pubblicato in: | Med Image Anal |
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| Autori principali: | , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | 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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