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Non-Euclidean Classification of Medically Imaged Objects via S-reps

Classifying medically imaged objects, e.g., into diseased and normal classes, has been one of the important goals in medical imaging. We propose a novel classification scheme that uses a skeletal representation to provide rich non-Euclidean geometric object properties. Our statistical method combine...

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Detalhes bibliográficos
Publicado no:Med Image Anal
Main Authors: Hong, Junpyo, Vicory, Jared, Schulz, Jörn, Styner, Martin, Marron, J. S., Pizer, Stephen M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4821729/
https://ncbi.nlm.nih.gov/pubmed/26963609
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2016.01.007
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