Statistical Shape and Deformation Analysis

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  • Publisher : Academic Press
  • Release : 23 March 2017
  • ISBN : 9780128104941
  • Page : 508 pages
  • Rating : 4.5/5 from 103 voters

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Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology. This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image analysis and clinical practice. Presents an accessible introduction to the basic concepts, methods, algorithms and techniques in statistical shape and deformation analysis Includes implementation examples using open source software Covers real-life applications of statistical shape and deformation analysis methods

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Statistical Shape and Deformation Analysis

Statistical Shape and Deformation Analysis
  • Author : Guoyan Zheng,Shuo Li,Gabor Szekely
  • Publisher : Academic Press
  • Release Date : 2017-03-23
  • ISBN : 9780128104941
GET THIS BOOKStatistical Shape and Deformation Analysis

Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology. This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software. Applications of statistical

Statistical Shape Analysis

Statistical Shape Analysis
  • Author : Ian L. Dryden,Kanti V. Mardia
  • Publisher : John Wiley & Sons
  • Release Date : 2016-07-08
  • ISBN : 9781119072515
GET THIS BOOKStatistical Shape Analysis

A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia; investigating protein molecules in bioinformatics; and describing growth of organisms in biology. This book is a significant update of the highly-regarded `Statistical Shape Analysis’ by the same authors. The new edition lays the foundations of landmark shape analysis, including geometrical

Statistical Shape Analysis

Statistical Shape Analysis
  • Author : Ian L. Dryden,Ian L.. Dryden,Kanti V. Mardia
  • Publisher : Wiley-Blackwell
  • Release Date : 1998-09-16
  • ISBN : UOM:39015048515913
GET THIS BOOKStatistical Shape Analysis

Thos book involves methods for the geometrical study of random objects where location, rotation and scale information.

Statistical Shape and Deformation Analysis

Statistical Shape and Deformation Analysis
  • Author : Guoyan Zheng,Shuo Li,Gabor Szekely
  • Publisher : Academic Press
  • Release Date : 2017-03-23
  • ISBN : 0128104937
GET THIS BOOKStatistical Shape and Deformation Analysis

Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology. This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software. Applications of statistical

Intelligent Orthopaedics

Intelligent Orthopaedics
  • Author : Guoyan Zheng,Wei Tian,Xiahai Zhuang
  • Publisher : Springer
  • Release Date : 2018-10-10
  • ISBN : 9789811313967
GET THIS BOOKIntelligent Orthopaedics

This book introduces readers to the latest technological advances in the emerging field of intelligent orthopaedics. Artificial intelligence and smart instrumentation techniques are now revolutionizing every area of our lives, including medicine. The applications of these techniques in orthopaedic interventions offer a number of potential benefits, e.g. reduced incision size and scarring, minimized soft tissue damage, and decreased risk of misalignment. Consequently, these techniques have become indispensable for various orthopaedic interventions, which has led to the emerging field of

Statistical Shape Analysis

Statistical Shape Analysis
  • Author : Ian L. Dryden,Kanti V. Mardia
  • Publisher : John Wiley & Sons
  • Release Date : 2016-09-06
  • ISBN : 9780470699621
GET THIS BOOKStatistical Shape Analysis

A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia; investigating protein molecules in bioinformatics; and describing growth of organisms in biology. This book is a significant update of the highly-regarded `Statistical Shape Analysis’ by the same authors. The new edition lays the foundations of landmark shape analysis, including geometrical

Shape in Medical Imaging

Shape in Medical Imaging
  • Author : Martin Reuter,Christian Wachinger,Hervé Lombaert,Beatriz Paniagua,Marcel Lüthi,Bernhard Egger
  • Publisher : Springer
  • Release Date : 2018-11-22
  • ISBN : 9783030047474
GET THIS BOOKShape in Medical Imaging

This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical

Riemannian Geometric Statistics in Medical Image Analysis

Riemannian Geometric Statistics in Medical Image Analysis
  • Author : Xavier Pennec,Stefan Sommer,Tom Fletcher
  • Publisher : Academic Press
  • Release Date : 2019-09-02
  • ISBN : 9780128147269
GET THIS BOOKRiemannian Geometric Statistics in Medical Image Analysis

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a

Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis
  • Author : Mei Chen
  • Publisher : Academic Press
  • Release Date : 2020-12-01
  • ISBN : 9780128149737
GET THIS BOOKComputer Vision for Microscopy Image Analysis

Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
  • Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
  • Publisher : Springer Nature
  • Release Date : 2022-10-17
  • ISBN : 9783031164347
GET THIS BOOKMedical Image Computing and Computer Assisted Intervention – MICCAI 2022

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
  • Author : Hayit Greenspan,Ryutaro Tanno,Marius Erdt,Tal Arbel,Christian Baumgartner,Adrian Dalca,Carole H. Sudre,William M. Wells,Klaus Drechsler,Marius George Linguraru,Cristina Oyarzun Laura,Raj Shekhar,Stefan Wesarg,Miguel Ángel González Ballester
  • Publisher : Springer Nature
  • Release Date : 2019-10-10
  • ISBN : 9783030326890
GET THIS BOOKUncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing
  • Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
  • Publisher : Springer
  • Release Date : 2018-05-24
  • ISBN : 9783319912622
GET THIS BOOKArtificial Intelligence and Soft Computing

The two-volume set LNAI 10841 and LNAI 10842 constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018, held in Zakopane, Poland in June 2018. The 140 revised full papers presented were carefully reviewed and selected from 242 submissions. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; artificial intelligence in modeling, simulation and control; and various problems of artificial intelligence.

Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention

Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention
  • Author : Luping Zhou,Nicholas Heller,Yiyu Shi,Yiming Xiao,Raphael Sznitman,Veronika Cheplygina,Diana Mateus,Emanuele Trucco,X. Sharon Hu,Danny Chen,Matthieu Chabanas,Hassan Rivaz,Ingerid Reinertsen
  • Publisher : Springer Nature
  • Release Date : 2019-11-20
  • ISBN : 9783030336424
GET THIS BOOKLarge-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention

This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019, the 5 papers presented

Spectral Geometry of Shapes

Spectral Geometry of Shapes
  • Author : Jing Hua,Zichun Zhong
  • Publisher : Academic Press
  • Release Date : 2020-01-15
  • ISBN : 9780128138427
GET THIS BOOKSpectral Geometry of Shapes

Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there

Functional and Shape Data Analysis

Functional and Shape Data Analysis
  • Author : Anuj Srivastava,Eric P. Klassen
  • Publisher : Springer
  • Release Date : 2016-10-03
  • ISBN : 9781493940202
GET THIS BOOKFunctional and Shape Data Analysis

This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of