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Computer Vision-Guided Virtual Craniofacial Surgery

Ananda S. Chowdhury, Suchendra M. Bhandarkar
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      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.
      Format: CONTRIBUTORS: Ananda S. Chowdhury, Suchendra M. Bhandarkar EAN: 9780857292957 COUNTRY: United Kingdom PAGES: WEIGHT: 1000 g HEIGHT: 235 cm
      PUBLISHED BY: Springer London Ltd DATE PUBLISHED: 2011-03-28 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MEDICAL / Biochemistry WIDTH: 155 cm SPINE:

      Book Themes:

      Medical imaging, Pattern recognition

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      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.
      Format: CONTRIBUTORS: Ananda S. Chowdhury, Suchendra M. Bhandarkar EAN: 9780857292957 COUNTRY: United Kingdom PAGES: WEIGHT: 1000 g HEIGHT: 235 cm
      PUBLISHED BY: Springer London Ltd DATE PUBLISHED: 2011-03-28 CITY: GENRE: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MEDICAL / Biochemistry WIDTH: 155 cm SPINE:

      Book Themes:

      Medical imaging, Pattern recognition

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      Be the first to write a review
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