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Groupwise Morphometric Analysis Based on High Dimensional Clustering

In this paper, we propose an efficient groupwise morphometric analysis to characterize morphological variations between healthy and pathological states. The proposed framework extends the work of Baloch [4] in which a manifold for each anatomy was constructed by collecting lossless [transformation,...

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Detalhes bibliográficos
Publicado no:Conf Comput Vis Pattern Recognit Workshops
Main Authors: Ye, Dong Hye, Pohl, Kilian M., Litt, Harold, Davatzikos, Christos
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5466416/
https://ncbi.nlm.nih.gov/pubmed/28603660
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPRW.2010.5543438
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