Titlebook: A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis; Heike Hufnagel Book 2011 Vieweg+Teubner Verlag | Sprin

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A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis

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Book 2011solutions to analysis, segmentation and reconstruction problems. .Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level set segmenta

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https://doi.org/10.1007/978-3-642-99970-3shape model for point-based shape representations is developed. A probabilistic modeling is chosen instead of a deterministic one and the shapes are represented by mixtures of Gaussians. The computation of the Gaussian Mixture SSM is formulated in a generative framework.

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2625-9354 acilitate solutions to analysis, segmentation and reconstruction problems. .Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level se

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Introduction,ohe Sensitivität und Spezifität, mit denen Informationen an ganze Organsysteme weitergegeben werden können. Für unser Fachgebiet haben Proteohormone wie z. B. das FSH, LH und AMH, die aus Aminosäuren und Zuckeranteilen bestehen und Steroide, die eine modifizierte Steranstruktur besitzen und größtent