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Spatial Confidence Regions for Quantifying and Visualizing Registration Uncertainty
For image registration to be applicable in a clinical setting, it is important to know the degree of uncertainty in the returned point-correspondences. In this paper, we propose a data-driven method that allows one to visualize and quantify the registration uncertainty through spatially adaptive con...
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| Publicado no: | Biomed Image Regist Proc |
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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/PMC4441345/ https://ncbi.nlm.nih.gov/pubmed/26005720 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-642-31340-0_13 |
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