Autor/in: Chowdhury, Ananda S.; Bhandarkar, Suchendra M.
Titel: Computer Vision-Guided Virtual Craniofacial Surgery - A Graph-Theoretic and Statistical Perspective
ISBN: 9780857292957 (ISBN-10: 0857292951)
Zustand: leichte Gebrauchsspuren
Verlag: Springer London
Format: 230x150 mm
Seiten: 166
Gewicht: 850 g
Einband: Hardcover/gebunden
Sprache: Englisch
Verlagstext: 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.
Erschienen: 2011
Sparte: Medizin/Pharmazie: Sonstiges - Medizin (#323)
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