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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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Dades bibliogràfiques
Publicat a:Proc IEEE Int Symp Biomed Imaging
Autors principals: Eckl, Jutta, Daum, Volker, Hornegger, Joachim, Pohl, Kilian M.
Format: Artigo
Idioma:Inglês
Publicat: 2012
Matèries:
Accés en línia: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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