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Titlebook: Computer Vision-Guided Virtual Craniofacial Surgery; A Graph-Theoretic an Ananda S. Chowdhury,Suchendra M. Bhandarkar Book 2011 Springer-Ve

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书目名称Computer Vision-Guided Virtual Craniofacial Surgery
副标题A Graph-Theoretic an
编辑Ananda S. Chowdhury,Suchendra M. Bhandarkar
视频videohttp://file.papertrans.cn/235/234323/234323.mp4
概述The only book to treat the problem of virtual reconstructive craniofacial surgery from a combinatorial and algorithmic perspective.Provides a survey of the applications of computer vision and pattern
丛书名称Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Computer Vision-Guided Virtual Craniofacial Surgery; A Graph-Theoretic an Ananda S. Chowdhury,Suchendra M. Bhandarkar Book 2011 Springer-Ve
描述This unique text/reference discusses in depth the two integral components of reconstructive surgery; fracture detection, and reconstruction from broken bone fragments. In addition to supporting its application-oriented viewpoint with detailed coverage of theoretical issues, the work incorporates useful algorithms and relevant concepts from both graph theory and statistics. Topics and features: presents practical solutions for virtual craniofacial reconstruction and computer-aided fracture detection; discusses issues of image registration, object reconstruction, combinatorial pattern matching, and detection of salient points and regions in an image; investigates the concepts of maximum-weight graph matching, maximum-cardinality minimum-weight matching for a bipartite graph, determination of minimum cut in a flow network, and construction of automorphs of a cycle graph; examines the techniques of Markov random fields, hierarchical Bayesian restoration, Gibbs sampling, and Bayesian inference.
出版日期Book 2011
关键词Bayesian Inference; Computed Tomography; Fracture Detection; Graph Automorphism; Graph Matching; Markov R
版次1
doihttps://doi.org/10.1007/978-0-85729-296-4
isbn_softcover978-1-4471-2645-4
isbn_ebook978-0-85729-296-4Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer-Verlag London Limited 2011
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https://doi.org/10.1007/978-1-4020-4271-3overall reconstruction accuracy. The Maximum Cardinality Minimum Weight Bipartite Graph Matching algorithm, relevant concepts from Graph Automorphism, Fuzzy set-theoretic modeling, and extraction of the mean and Gaussian curvature values from the fracture surfaces are employed at various stages of t
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Conceptual Design of a Cold Room,ruction is modeled as one of maximum-weight graph matching which, in contrast, is shown to have a polynomial-time complexity in the worst case. The surface matching algorithms described in the previous chapter are used to achieve pairwise registration of the fracture surfaces. The global shape of th
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Energy Led Economic Development Case Study,d reduced risk for potential postoperative complications. In this chapter, we propose a scheme for identification of stable fracture points in well displaced or major fractures in an input CT image sequence. First, a set of candidate fracture points is generated by identifying points of high curvatu
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https://doi.org/10.1057/9781137469274of a hairline fracture or minor fracture, the decision regarding surgical intervention is less clear since the surgeon can rely on natural bone healing for fracture reduction without having to perform reconstructive surgery. In this chapter, we propose a Markov Random Field (MRF)-based hierarchical
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Energy Generation and Usage in South Africa,) algorithm by Ford and Fulkerson. This approach for identification and localization of fractures is shown to yield more promising results in the case of minor fractures while requiring very little preprocessing of the input image data. We first model a sequence of 2D CT image slices as a collection
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Convection in Generalized Fluids,ch of the previous chapters has concluded with a section outlining future research directions. However, in those sections, we discussed the future work from a relatively narrow perspective of the specific problem being dealt with in that chapter. In contrast, in the final section of this chapter, we
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Introductions of the monograph. In this chapter, we first describe the anatomy of craniofacial fractures. Next, we discuss the state-of-the-art in the field of virtual reconstructive craniofacial surgery and highlight the importance of our contributions. We end this chapter by outlining the organization of this
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