Computational Methods And Clinical Applications For Spine Imaging

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Computational Methods and Clinical Applications for Spine Imaging

Author : Tomaž Vrtovec,Jianhua Yao,Ben Glocker,Tobias Klinder,Alejandro Frangi,Guoyan Zheng,Shuo Li
Publisher : Springer
Page : 159 pages
File Size : 41,6 Mb
Release : 2016-07-20
Category : Computers
ISBN : 9783319418278

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Computational Methods and Clinical Applications for Spine Imaging by Tomaž Vrtovec,Jianhua Yao,Ben Glocker,Tobias Klinder,Alejandro Frangi,Guoyan Zheng,Shuo Li Pdf

This book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 9 workshop papers and 6 challenge contributions were carefully reviewed and selected for inclusion in this volume. The papers cover all major aspects related to spine imaging.

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Author : Jianhua Yao,Ben Glocker,Tobias Klinder,Shuo Li
Publisher : Springer
Page : 259 pages
File Size : 45,8 Mb
Release : 2015-02-09
Category : Technology & Engineering
ISBN : 9783319141480

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Recent Advances in Computational Methods and Clinical Applications for Spine Imaging by Jianhua Yao,Ben Glocker,Tobias Klinder,Shuo Li Pdf

This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.

Computational Methods and Clinical Applications for Spine Imaging

Author : Yunliang Cai,Liansheng Wang,Michel Audette,Guoyan Zheng,Shuo Li
Publisher : Springer Nature
Page : 120 pages
File Size : 43,5 Mb
Release : 2020-01-31
Category : Computers
ISBN : 9783030397524

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Computational Methods and Clinical Applications for Spine Imaging by Yunliang Cai,Liansheng Wang,Michel Audette,Guoyan Zheng,Shuo Li Pdf

This book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China. All submissions were accepted for publication; the book contains 5 peer-reviewed regular papers, covering topics of vertrebra detection, spine segmentation and image-based diagnosis, and 9 challenge papers, investigating (semi-)automatic spinal curvature estimation algorithms and providing a standard evaluation framework with a set of x-ray images.

Computational Methods and Clinical Applications for Spine Imaging

Author : Jianhua Yao,Tobias Klinder,Shuo Li
Publisher : Springer
Page : 230 pages
File Size : 49,8 Mb
Release : 2014-07-11
Category : Technology & Engineering
ISBN : 9783319072692

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Computational Methods and Clinical Applications for Spine Imaging by Jianhua Yao,Tobias Klinder,Shuo Li Pdf

This book contains the full papers presented at the MICCAI 2013 workshop Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistic. The works included in this book present and discuss new trends in those fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modelling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.

Computational Methods and Clinical Applications for Spine Imaging

Author : Guoyan Zheng,Daniel Belavy,Yunliang Cai,Shuo Li
Publisher : Springer
Page : 181 pages
File Size : 42,9 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9783030137366

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Computational Methods and Clinical Applications for Spine Imaging by Guoyan Zheng,Daniel Belavy,Yunliang Cai,Shuo Li Pdf

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging.

Computational Methods and Clinical Applications for Spine Imaging

Author : Jianhua Yao,Tomaž Vrtovec,Guoyan Zheng,Alejandro Frangi,Ben Glocker,Shuo Li
Publisher : Springer
Page : 147 pages
File Size : 55,6 Mb
Release : 2017-02-28
Category : Computers
ISBN : 9783319550503

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Computational Methods and Clinical Applications for Spine Imaging by Jianhua Yao,Tomaž Vrtovec,Guoyan Zheng,Alejandro Frangi,Ben Glocker,Shuo Li Pdf

This book constitutes the refereed proceedings of the 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. They aim at reviewing the state-of-the-art techniques, sharing the novel and emerging analysis and visualization techniques and discussing the clinical challenges and open problems in this rapidly growing field - including all major aspects of problems related to spine imaging, including clinical applications of spine imaging, computer aided diagnosis of spine conditions, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.

Computational Methods and Clinical Applications in Musculoskeletal Imaging

Author : Ben Glocker,Jianhua Yao,Tomaž Vrtovec,Alejandro Frangi,Guoyan Zheng
Publisher : Springer
Page : 161 pages
File Size : 52,6 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9783319741130

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Computational Methods and Clinical Applications in Musculoskeletal Imaging by Ben Glocker,Jianhua Yao,Tomaž Vrtovec,Alejandro Frangi,Guoyan Zheng Pdf

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging.

Spinal Imaging and Image Analysis

Author : Shuo Li,Jianhua Yao
Publisher : Springer
Page : 508 pages
File Size : 53,7 Mb
Release : 2014-12-17
Category : Technology & Engineering
ISBN : 9783319125084

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Spinal Imaging and Image Analysis by Shuo Li,Jianhua Yao Pdf

This book is instrumental to building a bridge between scientists and clinicians in the field of spine imaging by introducing state-of-the-art computational methods in the context of clinical applications. Spine imaging via computed tomography, magnetic resonance imaging, and other radiologic imaging modalities, is essential for noninvasively visualizing and assessing spinal pathology. Computational methods support and enhance the physician’s ability to utilize these imaging techniques for diagnosis, non-invasive treatment, and intervention in clinical practice. Chapters cover a broad range of topics encompassing radiological imaging modalities, clinical imaging applications for common spine diseases, image processing, computer-aided diagnosis, quantitative analysis, data reconstruction and visualization, statistical modeling, image-guided spine intervention, and robotic surgery. This volume serves a broad audience as contributions were written by both clinicians and researchers, which reflects the intended readership as well, being a potentially comprehensive book for all spine related clinicians, technicians, scientists, and graduate students.

Computational Methods and Clinical Applications in Musculoskeletal Imaging

Author : Tomaž Vrtovec,Jianhua Yao,Guoyan Zheng,Jose M. Pozo
Publisher : Springer
Page : 153 pages
File Size : 53,8 Mb
Release : 2019-01-08
Category : Computers
ISBN : 9783030111663

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Computational Methods and Clinical Applications in Musculoskeletal Imaging by Tomaž Vrtovec,Jianhua Yao,Guoyan Zheng,Jose M. Pozo Pdf

This book constitutes the refereed proceedings of the 6th International Workshop on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging.

Advances in Computational Techniques for Biomedical Image Analysis

Author : Deepika Koundal,Savita Gupta
Publisher : Academic Press
Page : 324 pages
File Size : 45,7 Mb
Release : 2020-05-28
Category : Computers
ISBN : 9780128204115

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Advances in Computational Techniques for Biomedical Image Analysis by Deepika Koundal,Savita Gupta Pdf

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. Covers various challenges and common research issues related to biomedical image analysis Describes advanced computational approaches for biomedical image analysis Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization Explores cloud based medical imaging together with medical imaging security and forensics

Deep Network Design for Medical Image Computing

Author : Haofu Liao,S. Kevin Zhou,Jiebo Luo
Publisher : Academic Press
Page : 266 pages
File Size : 41,9 Mb
Release : 2022-08-24
Category : Computers
ISBN : 9780128244036

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Deep Network Design for Medical Image Computing by Haofu Liao,S. Kevin Zhou,Jiebo Luo Pdf

Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. Explains design principles of deep learning techniques for MIC Contains cutting-edge deep learning research on MIC Covers a broad range of MIC tasks, including the classification, detection, segmentation, registration, reconstruction and synthesis of medical images

World Congress on Medical Physics and Biomedical Engineering 2018

Author : Lenka Lhotska,Lucie Sukupova,Igor Lacković,Geoffrey S. Ibbott
Publisher : Springer
Page : 894 pages
File Size : 46,5 Mb
Release : 2018-05-29
Category : Technology & Engineering
ISBN : 9789811090356

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World Congress on Medical Physics and Biomedical Engineering 2018 by Lenka Lhotska,Lucie Sukupova,Igor Lacković,Geoffrey S. Ibbott Pdf

This book (vol. 1) presents the proceedings of the IUPESM World Congress on Biomedical Engineering and Medical Physics, a triennially organized joint meeting of medical physicists, biomedical engineers and adjoining health care professionals. Besides the purely scientific and technological topics, the 2018 Congress will also focus on other aspects of professional involvement in health care, such as education and training, accreditation and certification, health technology assessment and patient safety. The IUPESM meeting is an important forum for medical physicists and biomedical engineers in medicine and healthcare learn and share knowledge, and discuss the latest research outcomes and technological advancements as well as new ideas in both medical physics and biomedical engineering field.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

Author : Anne L. Martel,Purang Abolmaesumi,Danail Stoyanov,Diana Mateus,Maria A. Zuluaga,S. Kevin Zhou,Daniel Racoceanu,Leo Joskowicz
Publisher : Springer Nature
Page : 819 pages
File Size : 45,5 Mb
Release : 2020-10-02
Category : Computers
ISBN : 9783030597252

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 by Anne L. Martel,Purang Abolmaesumi,Danail Stoyanov,Diana Mateus,Maria A. Zuluaga,S. Kevin Zhou,Daniel Racoceanu,Leo Joskowicz Pdf

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Medical Imaging in Clinical Applications

Author : Nilanjan Dey,Vikrant Bhateja,Aboul Ella Hassanien
Publisher : Springer
Page : 506 pages
File Size : 52,9 Mb
Release : 2016-06-03
Category : Technology & Engineering
ISBN : 9783319337937

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Medical Imaging in Clinical Applications by Nilanjan Dey,Vikrant Bhateja,Aboul Ella Hassanien Pdf

This volume comprises of 21 selected chapters, including two overview chapters devoted to abdominal imaging in clinical applications supported computer aided diagnosis approaches as well as different techniques for solving the pectoral muscle extraction problem in the preprocessing part of the CAD systems for detecting breast cancer in its early stage using digital mammograms. The aim of this book is to stimulate further research in medical imaging applications based algorithmic and computer based approaches and utilize them in real-world clinical applications. The book is divided into four parts, Part-I: Clinical Applications of Medical Imaging, Part-II: Classification and clustering, Part-III: Computer Aided Diagnosis (CAD) Tools and Case Studies and Part-IV: Bio-inspiring based Computer Aided diagnosis techniques.

Intelligent Computing Theories and Application

Author : De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Premaratne
Publisher : Springer
Page : 874 pages
File Size : 54,8 Mb
Release : 2016-07-11
Category : Computers
ISBN : 9783319422916

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Intelligent Computing Theories and Application by De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Premaratne Pdf

This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016. The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.