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Gaussian Mixtures on Tensor Fields for Segmentation: Applications to Medical Imaging

In this paper, we introduce a new approach for tensor field segmentation based on the definition of mixtures of Gaussians on tensors as a statistical model. Working over the well-known Geodesic Active Regions segmentation framework, this scheme presents several interesting advantages. First, it yiel...

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書誌詳細
主要な著者: de Luis-García, Rodrigo, Westin, Carl-Fredrik, Alberola-López, Carlos
フォーマット: Artigo
言語:Inglês
出版事項: 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3448490/
https://ncbi.nlm.nih.gov/pubmed/20932717
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compmedimag.2010.09.001
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