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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,...
Tallennettuna:
| Julkaisussa: | Conf Comput Vis Pattern Recognit Workshops |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2010
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| Aiheet: | |
| Linkit: | 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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