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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis
Methods and Applications

by Deepika Koundal,Savita Gupta

  • Publisher : Academic Press
  • Release : 2020-05-28
  • Pages : 322
  • ISBN : 0128204117
  • Language : En, Es, Fr & De
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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

Computational Techniques for Dental Image Analysis

Computational Techniques for Dental Image Analysis
A Book

by Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar

  • Publisher : IGI Global
  • Release : 2018-10-30
  • Pages : 334
  • ISBN : 1522562443
  • Language : En, Es, Fr & De
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With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging
A Book

by Jianhua Yao,Ben Glocker,Tobias Klinder,Shuo Li

  • Publisher : Springer
  • Release : 2015-02-09
  • Pages : 259
  • ISBN : 3319141481
  • Language : En, Es, Fr & De
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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.

Advances in Computational Vision and Medical Image Processing

Advances in Computational Vision and Medical Image Processing
Methods and Applications

by Joao Tavares,R. M. Natal Jorge

  • Publisher : Springer Science & Business Media
  • Release : 2008-12-21
  • Pages : 294
  • ISBN : 1402090862
  • Language : En, Es, Fr & De
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Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

Computational Tools and Techniques for Biomedical Signal Processing

Computational Tools and Techniques for Biomedical Signal Processing
A Book

by Singh, Butta

  • Publisher : IGI Global
  • Release : 2016-08-12
  • Pages : 415
  • ISBN : 1522506616
  • Language : En, Es, Fr & De
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Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented. Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists, information technologists, biomedical engineers, data-processing specialists, and medical physicists interested in signal processing within medical systems and facilities.

Medical Imaging Systems Technology

Medical Imaging Systems Technology
A-Volume Set

by Cornelius T Leondes

  • Publisher : World Scientific
  • Release : 2005-08-25
  • Pages : 400
  • ISBN : 9814480150
  • Language : En, Es, Fr & De
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Readership: Academics, researchers, industrialists, postgraduate and graduate students in databases, fuzzy logic, machine vision/pattern recognition, neural networks, bioengineering, electrical & electronic engineering, and bioinformatics.Key Features: Provides a significant and uniquely comprehensive reference source for research workers and practitioners Features 130 contributors from 27 countries, among the foremost authorities in industry, government and academia Institutions, laboratories and individuals involved in the area of medical imaging should possess this setKeywords:Medical Imaging;Systems Technology;Cardiovascular Systems;Brain Systems;General Anatomy;Modalities;Diagnosis Optimization Methods;Computational Methods

Advances in Computational Intelligence Techniques

Advances in Computational Intelligence Techniques
A Book

by Shruti Jain,Meenakshi Sood,Sudip Paul

  • Publisher : Springer Nature
  • Release : 2020-02-20
  • Pages : 266
  • ISBN : 9811526206
  • Language : En, Es, Fr & De
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This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and their applications. It offers support for researchers involved in designing decision support systems to promote the societal acceptance of ambient intelligence, and presents the latest research on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field. As such, it offers a valuable resource for researchers, developers and educators whose work involves recent advances and emerging technologies in computational intelligence.

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
A Book

by Nilanjan Dey

  • Publisher : Academic Press
  • Release : 2019-07-31
  • Pages : 218
  • ISBN : 0128180056
  • Language : En, Es, Fr & De
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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design

Advances in Computerized Analysis in Clinical and Medical Imaging

Advances in Computerized Analysis in Clinical and Medical Imaging
A Book

by J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz

  • Publisher : CRC Press
  • Release : 2019-10-28
  • Pages : 264
  • ISBN : 0429820496
  • Language : En, Es, Fr & De
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Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis, computational physiology and telemedicine with medical images. This book highlights annotations for all the medical and clinical imaging researchers’ a fundamental advances of clinical and medical image analysis techniques. This book will be a good source for all the medical imaging and clinical research professionals, outstanding scientists, and educators from all around the world for network of knowledge sharing. This book will comprise high quality disseminations of new ideas, technology focus, research results and discussions on the evolution of Clinical and Medical image analysis techniques for the benefit of both scientific and industrial developments. Features: Research aspects in clinical and medical image processing Human Computer Interaction and interface in imaging diagnostics Intelligent Imaging Systems for effective analysis using machine learning algorithms Clinical and Scientific Evaluation of Imaging Studies Computer-aided disease detection and diagnosis Clinical evaluations of new technologies Mobility and assistive devices for challenged and elderly people This book serves as a reference book for researchers and doctoral students in the clinical and medical imaging domain including radiologists. Industries that manufacture imaging modality systems and develop optical systems would be especially interested in the challenges and solutions provided in the book. Professionals and practitioners in the medical and clinical imaging may be benefited directly from authors’ experiences.

Signal and Image Analysis for Biomedical and Life Sciences

Signal and Image Analysis for Biomedical and Life Sciences
A Book

by Changming Sun,Tomasz Bednarz,Tuan D. Pham,Pascal Vallotton,Dadong Wang

  • Publisher : Springer
  • Release : 2014-11-07
  • Pages : 276
  • ISBN : 3319109847
  • Language : En, Es, Fr & De
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With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to each of the applications. It can be used by those both at graduate and specialist levels.

Computer Methods and Programs in Biomedical Signal and Image Processing

Computer Methods and Programs in Biomedical Signal and Image Processing
A Book

by Lulu Wang

  • Publisher : BoD – Books on Demand
  • Release : 2020-03-18
  • Pages : 110
  • ISBN : 1838802428
  • Language : En, Es, Fr & De
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This book aims to provide a brief update to the current status of and advances in computational methods and programs used for the development of the theory and practice of biomedical signal and image communication. The book comprises a collection of invited manuscripts, written in a convenient way and of manageable length. These timely collections will provide an invaluable resource for initial inquiries into technologies and will encapsulate the latest developments and applications with reference sources for further detailed information. The methods described in this book cover a wide range of computational algorithms that are widely used in bioengineering and biomedicine. The content and format are specifically designed to stimulate the further development and application of these technologies by reaching out to non-specialists across a broad audience. This book is intended to expose the latest developments of scientists and engineers covering a variety of complementary topics, to enhance people's overall understanding of computer science and biomedical image communications. It will benefit students, scientists, and researchers in applied computer science. Engineers and clinicians working in imaging will also find this book useful.

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes
A Book

by Karâa, Wahiba Ben Abdessalem

  • Publisher : IGI Global
  • Release : 2015-11-03
  • Pages : 335
  • ISBN : 1466688122
  • Language : En, Es, Fr & De
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Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.

Multi-Modality Imaging

Multi-Modality Imaging
Applications and Computational Techniques

by Mauren Abreu de Souza,Humberto Remigio Gamba,Helio Pedrini

  • Publisher : Springer
  • Release : 2018-11-29
  • Pages : 256
  • ISBN : 331998974X
  • Language : En, Es, Fr & De
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This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.

Computational Methods and Clinical Applications for Spine Imaging

Computational Methods and Clinical Applications for Spine Imaging
Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings

by Tomaž Vrtovec,Jianhua Yao,Ben Glocker,Tobias Klinder,Alejandro Frangi,Guoyan Zheng,Shuo Li

  • Publisher : Springer
  • Release : 2016-07-20
  • Pages : 159
  • ISBN : 3319418270
  • Language : En, Es, Fr & De
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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.

Biomedical Image Segmentation

Biomedical Image Segmentation
Advances and Trends

by Ayman El-Baz,Xiaoyi Jiang,Jasjit S. Suri

  • Publisher : CRC Press
  • Release : 2016-11-17
  • Pages : 526
  • ISBN : 1315355043
  • Language : En, Es, Fr & De
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As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.

Computational Methods for Inverse Problems in Imaging

Computational Methods for Inverse Problems in Imaging
A Book

by Marco Donatelli,Stefano Serra-Capizzano

  • Publisher : Springer Nature
  • Release : 2019-11-26
  • Pages : 166
  • ISBN : 3030328821
  • Language : En, Es, Fr & De
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This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also discusses various current and challenging applications in fields such as astronomy, microscopy, and biomedical imaging. The book is intended for researchers and advanced graduate students interested in inverse problems and imaging.

Computational Methods in Molecular Imaging Technologies

Computational Methods in Molecular Imaging Technologies
A Book

by Vinit Kumar Gunjan,Fahimuddin Shaik,C Venkatesh,M. Amarnath

  • Publisher : Springer
  • Release : 2017-07-04
  • Pages : 75
  • ISBN : 9811046360
  • Language : En, Es, Fr & De
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This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.

Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis
A Book

by Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas

  • Publisher : Academic Press
  • Release : 2018-01-18
  • Pages : 292
  • ISBN : 0128131748
  • Language : En, Es, Fr & De
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Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Computational Methods in Biomedical Research

Computational Methods in Biomedical Research
A Book

by Ravindra Khattree,Dayanand Naik

  • Publisher : CRC Press
  • Release : 2007-12-12
  • Pages : 432
  • ISBN : 9781420010923
  • Language : En, Es, Fr & De
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Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in the field, this authoritative collection covers a wide range of topics. It introduces each topic at a basic level, before moving on to more advanced discussions of applications. The book begins with microarray data analysis, machine learning techniques, and mass spectrometry-based protein profiling. It then uses state space models to predict US cancer mortality rates and provides an overview of the application of multistate models in analyzing multiple failure times. The book also describes various Bayesian techniques, the sequential monitoring of randomization tests, mixed-effects models, and the classification rules for repeated measures data. The volume concludes with estimation methods for analyzing longitudinal data. Supplying the knowledge necessary to perform sophisticated statistical analyses, this reference is a must-have for anyone involved in advanced biomedical and pharmaceutical research. It will help in the quest to identify potential new drugs for the treatment of a variety of diseases.

Guide to Medical Image Analysis

Guide to Medical Image Analysis
Methods and Algorithms

by Klaus D. Toennies

  • Publisher : Springer
  • Release : 2017-03-29
  • Pages : 589
  • ISBN : 1447173201
  • Language : En, Es, Fr & De
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This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.