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书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0141936<br><br> <br><br>书目名称A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0141936<br><br> <br><br>Cocker 发表于 2025-3-21 21:12:00
978-3-8348-1722-8Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2011SEED 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 2625-9362Connotation 发表于 2025-3-22 08:05:37
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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 resultsPalpate 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