Statistical Shape and Deformation Analysis Book

Statistical Shape and Deformation Analysis


  • Author : Guoyan Zheng
  • Publisher : Academic Press
  • Release Date : 2017-03-23
  • Genre: Computers
  • Pages : 508
  • ISBN 10 : 9780128104941

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Statistical Shape and Deformation Analysis Excerpt :

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

Statistical Shape Analysis Book

Statistical Shape Analysis


  • Author : Ian L. Dryden
  • Publisher : Wiley-Blackwell
  • Release Date : 1998-09-16
  • Genre: Mathematics
  • Pages : 347
  • ISBN 10 : UOM:39015048515913

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Statistical Shape Analysis Excerpt :

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

Information Processing in Medical Imaging Book

Information Processing in Medical Imaging


  • Author : Michael F. Insana
  • Publisher : Springer
  • Release Date : 2003-06-29
  • Genre: Medical
  • Pages : 544
  • ISBN 10 : 9783540457299

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Information Processing in Medical Imaging Excerpt :

This book constitutes the refereed proceedings of the 17th International Conference on Information Processing in Medical Imaging, IPMI 2001, held in Davis, CA, USA, in June 2001. The 54 revised papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on objective assessment of image quality, shape modeling, molecular and diffusion tensor imaging, registration and structural analysis, functional image analysis, fMRI/EEG/MEG, deformable registration, shape analysis, and analysis of brain structure.

Intelligent Orthopaedics Book

Intelligent Orthopaedics


  • Author : Guoyan Zheng
  • Publisher : Springer
  • Release Date : 2018-10-10
  • Genre: Medical
  • Pages : 359
  • ISBN 10 : 9789811313967

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Intelligent Orthopaedics Excerpt :

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 intelligent orthopaedics. Addressing key technologies and applications, this book offers a valuable guide for all researchers and clinicians who need an update on both the principles and practice of intelligent orthopaedics, and for graduate students embarking on a career in this field.​

Riemannian Geometric Statistics in Medical Image Analysis Book

Riemannian Geometric Statistics in Medical Image Analysis


  • Author : Xavier Pennec
  • Publisher : Academic Press
  • Release Date : 2019-09-02
  • Genre: Computers
  • Pages : 636
  • ISBN 10 : 9780128147269

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Riemannian Geometric Statistics in Medical Image Analysis Excerpt :

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 presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as signal processing, computer vision, geometric deep learning, and other domains where statistics on geometric features appear. As such, the presented core methodology takes its place in the field of geometric statistics, the statistical analysis of data being elements of nonlinear geometric spaces. The foundational material and the advanced techniques presented in the later parts of the book can be useful in domains outside medical imaging and present important applications of geometric statistics methodology Content includes: The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs Applications of statistics on manifolds and shape spaces in medical image computing Diffeomorphic deformations and their applications As the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science. A complete reference covering both the foundations and state-of-the-art methods Edited and authored by leading researchers in the field Contains theory, examples,

Shape in Medical Imaging Book

Shape in Medical Imaging


  • Author : Martin Reuter
  • Publisher : Springer
  • Release Date : 2018-11-22
  • Genre: Computers
  • Pages : 312
  • ISBN 10 : 9783030047474

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Shape in Medical Imaging Excerpt :

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 applications, e.g., from the fields of geometric learning or spectral shape analysis.

Statistical Shape Analysis Book

Statistical Shape Analysis


  • Author : Ian L. Dryden
  • Publisher : John Wiley & Sons
  • Release Date : 2016-06-28
  • Genre: Mathematics
  • Pages : 496
  • ISBN 10 : 9781119072508

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Statistical Shape Analysis Excerpt :

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 concepts and statistical techniques, and extends to include analysis of curves, surfaces, images and other types of object data. Key definitions and concepts are discussed throughout, and the relative merits of different approaches are presented. The authors have included substantial new material on recent statistical developments and offer numerous examples throughout the text. Concepts are introduced in an accessible manner, while retaining sufficient detail for more specialist statisticians to appreciate the challenges and opportunities of this new field. Computer code has been included for instructional use, along with exercises to enable readers to implement the applications themselves in R and to follow the key ideas by hands-on analysis. Statistical Shape Analysis: with Applications in R will offer a valuable introduction to this fast-moving research area for statisticians and other applied scientists working in diverse areas, including archaeology, bioinformatics, biology, chemistry, computer science, medicine, morphometics and image analysis .

Artificial Intelligence and Soft Computing Book

Artificial Intelligence and Soft Computing


  • Author : Leszek Rutkowski
  • Publisher : Springer
  • Release Date : 2018-05-24
  • Genre: Computers
  • Pages : 814
  • ISBN 10 : 9783319912622

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Artificial Intelligence and Soft Computing Excerpt :

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 Book

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


  • Author : Luping Zhou
  • Publisher : Springer Nature
  • Release Date : 2019-11-20
  • Genre: Computers
  • Pages : 154
  • ISBN 10 : 9783030336424

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

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 at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications in medical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection.

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

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


  • Author : Hayit Greenspan
  • Publisher : Springer Nature
  • Release Date : 2019-10-10
  • Genre: Computers
  • Pages : 192
  • ISBN 10 : 9783030326890

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

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 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Spectral Geometry of Shapes Book

Spectral Geometry of Shapes


  • Author : Jing Hua
  • Publisher : Academic Press
  • Release Date : 2020-01-15
  • Genre: Computers
  • Pages : 195
  • ISBN 10 : 9780128138427

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Spectral Geometry of Shapes Excerpt :

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 has been a big increase in 3D shape data that requires a variety of shape analysis methods, hence the need for this comprehensive resource. Presents the latest advances in spectral geometric processing for 3D shape analysis applications, such as shape classification, shape matching, medical imaging, etc. Provides intuitive links between fundamental geometric theories and real-world applications, thus bridging the gap between theory and practice Describes new theoretical breakthroughs in applying spectral methods for non-isometric motion analysis Gives insights for developing spectral geometry-based approaches for 3D shape analysis and deep learning of shape geometry

Shape Analysis in Medical Image Analysis Book

Shape Analysis in Medical Image Analysis


  • Author : Shuo Li
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-01-28
  • Genre: Technology & Engineering
  • Pages : 442
  • ISBN 10 : 9783319038131

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Shape Analysis in Medical Image Analysis Excerpt :

This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.

Information Processing in Medical Imaging Book

Information Processing in Medical Imaging


  • Author : Chris Taylor
  • Publisher : Springer Science & Business Media
  • Release Date : 2003-07-11
  • Genre: Computers
  • Pages : 698
  • ISBN 10 : 9783540405603

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Information Processing in Medical Imaging Excerpt :

This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.

Computer Vision    ECCV 2014 Book

Computer Vision ECCV 2014


  • Author : David Fleet
  • Publisher : Springer
  • Release Date : 2014-08-14
  • Genre: Computers
  • Pages : 853
  • ISBN 10 : 9783319106021

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Computer Vision ECCV 2014 Excerpt :

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.