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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....
Shranjeno v:
| izdano v: | Med Image Anal |
|---|---|
| Main Authors: | , , , , , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2018
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| Teme: | |
| Online dostop: | 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 |
| Oznake: |
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