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NON-RIGID REGISTRATION GUIDED BY LANDMARKS AND LEARNING
Registration methods frequently rely on prior information in order to generate anatomical meaningful transformations between medical scans. In this paper, we propose a novel intensity based non-rigid registration framework, which is guided by landmarks and a regularizer based on Principle Component...
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5470546/ https://ncbi.nlm.nih.gov/pubmed/28626512 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2012.6235645 |
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