作者: left-ventricle 時(shí)間: 2025-3-21 21:58 作者: enflame 時(shí)間: 2025-3-22 04:07
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作者: 榨取 時(shí)間: 2025-3-22 07:24
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作者: ORE 時(shí)間: 2025-3-22 11:01
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作者: tolerance 時(shí)間: 2025-3-22 15:35
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 作者: tolerance 時(shí)間: 2025-3-22 17:34
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作者: 最小 時(shí)間: 2025-3-22 23:33
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作者: 跟隨 時(shí)間: 2025-3-23 01:30
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作者: sorbitol 時(shí)間: 2025-3-23 05:50 作者: Spangle 時(shí)間: 2025-3-23 11:25
Virtual Multiple-Fracture Mandibular Reconstructionruction 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作者: inhumane 時(shí)間: 2025-3-23 14:30
Fracture Detection Using Bayesian Inferenced 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作者: hyperuricemia 時(shí)間: 2025-3-23 18:48
Fracture Detection in an MRF-Based Hierarchical Bayesian Frameworkof 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 作者: 群居男女 時(shí)間: 2025-3-24 02:07
Fracture Detection Using Max-Flow Min-Cut) 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作者: tooth-decay 時(shí)間: 2025-3-24 03:33
GUI Design and Research Synopsisch 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作者: abstemious 時(shí)間: 2025-3-24 06:35 作者: 口味 時(shí)間: 2025-3-24 12:29
Book 2011t 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.作者: GEON 時(shí)間: 2025-3-24 18:30
Book 2011n 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作者: isotope 時(shí)間: 2025-3-24 19:04
Graph-Theoretic Foundationsograph. The details of the graph-theoretic modeling of specific problems in the context of virtual craniofacial surgery, along with appropriate justifications, will be provided in later chapters. This chapter contains an introductory section, followed by three separate sections on graph matching, graph isomorphism, and network flow.作者: GRE 時(shí)間: 2025-3-25 00:30 作者: Asseverate 時(shí)間: 2025-3-25 07:01
The Energetics of Mangrove Forestsograph. The details of the graph-theoretic modeling of specific problems in the context of virtual craniofacial surgery, along with appropriate justifications, will be provided in later chapters. This chapter contains an introductory section, followed by three separate sections on graph matching, graph isomorphism, and network flow.作者: patriot 時(shí)間: 2025-3-25 11:26
The Energetics of Mangrove Forestsses Bayesian statistics, beginning with Bayes’ theorem and concluding with Bayesian inference. The last section serves as an introduction to random fields, image restoration within a Bayesian paradigm, and some associated techniques such as stochastic relaxation.作者: 社團(tuán) 時(shí)間: 2025-3-25 15:34
2191-6586 a survey of the applications of computer vision and pattern 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 detail作者: Assignment 時(shí)間: 2025-3-25 15:53 作者: Absenteeism 時(shí)間: 2025-3-25 22:54
Graph-Theoretic Foundationss constitute the theoretical underpinnings of a variety of techniques used to solve the various problems that arise in the context of virtual craniofacial surgery. The focus of this chapter is to present the necessary graph-theoretic foundations for the research presented in the remainder of the mon作者: accessory 時(shí)間: 2025-3-26 03:04
A Statistical Primerr contains four distinct sections. The first section deals with the basic concepts of probability and random variables. The second section is devoted to statistical inference which explains concepts such as the sampling distribution, point estimator, and confidence interval. The third section discus作者: hypertension 時(shí)間: 2025-3-26 07:07
Virtual Single-Fracture Mandibular Reconstructionch of this discussion is applicable not only to situations that involve exclusively a single fracture, but also to multiple fracture scenarios wherein the fractures are fixated one at a time in the operating room. Thus, the problem of mandibular reconstruction in the case of a single fracture assume作者: 倔強(qiáng)不能 時(shí)間: 2025-3-26 12:29
Virtual Multiple-Fracture Mandibular Reconstructionating surgeon has to identify the opposable fracture surfaces before physically registering them. Very often, the cost of surgery becomes prohibitive with the increased operative time necessary to complete the entire reconstruction process. Moreover, the increased operative time also poses increased作者: magnate 時(shí)間: 2025-3-26 14:21
Fracture Detection Using Bayesian Inferenceatic detection of fracture surfaces, which subsequently serve as input data to the surface matching and virtual reconstruction algorithms, is a critical and integral aspect of this endeavor. The generation of fracture surface data thus far has entailed significant user involvement. The surgeon has h作者: 警告 時(shí)間: 2025-3-26 20:52 作者: Indurate 時(shí)間: 2025-3-26 21:01
Fracture Detection Using Max-Flow Min-Cut. As mentioned previously, the fractures mandibular could be either (a)?. or ., denoting situations where the broken bone fragments are not visibly out of alignment or have incurred very little relative displacement, or (b)?., denoting situations where the broken fragments are clearly displaced rela作者: 玉米棒子 時(shí)間: 2025-3-27 05:02 作者: 一致性 時(shí)間: 2025-3-27 06:12
Ananda S. Chowdhury,Suchendra M. BhandarkarThe 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 作者: pellagra 時(shí)間: 2025-3-27 09:32
Advances in Computer Vision and Pattern Recognitionhttp://image.papertrans.cn/c/image/234323.jpg作者: 緩解 時(shí)間: 2025-3-27 15:14 作者: 不開心 時(shí)間: 2025-3-27 18:17 作者: Keratin 時(shí)間: 2025-3-27 23:35
Computer Vision-Guided Virtual Craniofacial Surgery978-0-85729-296-4Series ISSN 2191-6586 Series E-ISSN 2191-6594 作者: arousal 時(shí)間: 2025-3-28 05:13
The Energetics of Mangrove Forestsm a graph-theoretic and statistical perspective. We discuss some sophisticated techniques from computer vision, graph theory, and statistics and demonstrate how they can be employed to address the various challenging problems that arise in virtual reconstructive craniofacial surgery. The solutions p作者: Gourmet 時(shí)間: 2025-3-28 08:08 作者: 環(huán)形 時(shí)間: 2025-3-28 13:52
The Energetics of Mangrove Forestsr contains four distinct sections. The first section deals with the basic concepts of probability and random variables. The second section is devoted to statistical inference which explains concepts such as the sampling distribution, point estimator, and confidence interval. The third section discus作者: Medicare 時(shí)間: 2025-3-28 16:18 作者: 暫時(shí)別動(dòng) 時(shí)間: 2025-3-28 21:57
