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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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Publicado no: | Conf Comput Vis Pattern Recognit Workshops |
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Main Authors: | , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
2010
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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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