美丽动人 发表于 2025-3-21 18:45:55

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Cocker 发表于 2025-3-21 21:12:00

978-3-8348-1722-8Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2011

SEED 发表于 2025-3-22 02:06:18

A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis978-3-8348-8600-2Series ISSN 2625-9354 Series E-ISSN 2625-9362

Connotation 发表于 2025-3-22 08:05:37

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granite 发表于 2025-3-22 11:12:29

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整理 发表于 2025-3-22 16:36:33

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institute 发表于 2025-3-22 18:19:52

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ARCHE 发表于 2025-3-22 23:35:16

https://doi.org/10.1007/978-3-642-99970-3 in the literature and to gather knowledge about its behaviour and characteristics for different types of shapes. In section 4.1, the performance measures which are commonly used to assess the quality of SSMs are presented and discussed, and several distance metrics that are suited for point-based S

弯弯曲曲 发表于 2025-3-23 05:05:26

Differential and Difference Inequalities,ue inhomogeneities, contour gaps, and noise the automatic segmentation of many anatomical structures remains a challenge. Low-level algorithms as region growing, thresholding or simple edge-detection are often bound to fail or require heavy user interaction to lead to acceptable segmentation results

Palpate 发表于 2025-3-23 06:24:29

Differential and Difference Inequalities,the literature. The emphasis of this thesis however was not so much to propose a convenient SSM to solve a specific practical problem but to investigate the possibilities of a novel approach to SSM computation. The focus of this manuscript is twofold: First, a novel SSM method was developed in a pro
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查看完整版本: Titlebook: A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis; Heike Hufnagel Book 2011 Vieweg+Teubner Verlag | Sprin