Biomedical Texture Analysis Book

Biomedical Texture Analysis


  • Author : Adrien Depeursinge
  • Publisher : Academic Press
  • Release Date : 2017-08-25
  • Genre: Computers
  • Pages : 430
  • ISBN 10 : 9780128123218

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Biomedical Texture Analysis Excerpt :

Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision Defines the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedi

Biomedical Image Analysis Book
Score: 5
From 1 Ratings

Biomedical Image Analysis


  • Author : Rangaraj M. Rangayyan
  • Publisher : CRC Press
  • Release Date : 2004-12-30
  • Genre: Medical
  • Pages : 1312
  • ISBN 10 : 9780203492543

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Biomedical Image Analysis Excerpt :

Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstr

Advanced Biomedical Image Analysis Book

Advanced Biomedical Image Analysis


  • Author : Mark Haidekker
  • Publisher : John Wiley & Sons
  • Release Date : 2011-03-29
  • Genre: Science
  • Pages : 540
  • ISBN 10 : 1118099486

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Advanced Biomedical Image Analysis Excerpt :

A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study. Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration, image segmentation, image quantification and classification, and image visualization. In each instance, the theory, mathematical foundation, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter. Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use. Members of the academic community involved in image-related research as well as members of the professional R&D sector will rely on this volume. It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields.

Advances in Computational Techniques for Biomedical Image Analysis Book

Advances in Computational Techniques for Biomedical Image Analysis


  • Author : Deepika Koundal
  • Publisher : Academic Press
  • Release Date : 2020-05-28
  • Genre: Computers
  • Pages : 322
  • ISBN 10 : 9780128204115

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Advances in Computational Techniques for Biomedical Image Analysis Excerpt :

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

Handbook Of Pattern Recognition And Computer Vision  2nd Edition  Book

Handbook Of Pattern Recognition And Computer Vision 2nd Edition


  • Author : Chi Hau Chen
  • Publisher : World Scientific
  • Release Date : 1999-03-12
  • Genre: Computers
  • Pages : 1044
  • ISBN 10 : 9789814497640

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Handbook Of Pattern Recognition And Computer Vision 2nd Edition Excerpt :

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.

Pattern Recognition and Signal Analysis in Medical Imaging Book

Pattern Recognition and Signal Analysis in Medical Imaging


  • Author : Anke Meyer-Baese
  • Publisher : Elsevier
  • Release Date : 2014-03-21
  • Genre: Technology & Engineering
  • Pages : 466
  • ISBN 10 : 9780124166158

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Pattern Recognition and Signal Analysis in Medical Imaging Excerpt :

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

Biomedical Image Processing Book
Score: 5
From 1 Ratings

Biomedical Image Processing


  • Author : Thomas Martin Deserno
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-03-01
  • Genre: Science
  • Pages : 595
  • ISBN 10 : 9783642158162

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Biomedical Image Processing Excerpt :

In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning Book

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning


  • Author : Rani, Geeta
  • Publisher : IGI Global
  • Release Date : 2020-10-16
  • Genre: Medical
  • Pages : 586
  • ISBN 10 : 9781799827436

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning Excerpt :

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Computers in Medical Activity Book

Computers in Medical Activity


  • Author : Edward Kacki
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-10-13
  • Genre: Technology & Engineering
  • Pages : 274
  • ISBN 10 : 9783642044625

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Computers in Medical Activity Excerpt :

Papers selected to the present monograph are only a small piece of subjects being investigated in Poland in the range of medical computer science. Their summaries and preliminary results were presented during the international conference „Computers in Medical Activity" organized by the College of Computer Science in Lodz with the collaboration of the Polish Society of Medical Computer Science in Poland in 2007. The subject matter of the monograph is mainly steered on employing the computer systems in the diagnostics then the equipment of the medical activity and the general problems connected with the organization the medical care.

Assessment of Cellular and Organ Function and Dysfunction using Direct and Derived MRI Methodologies Book

Assessment of Cellular and Organ Function and Dysfunction using Direct and Derived MRI Methodologies


  • Author : Christakis Constantinides
  • Publisher : BoD – Books on Demand
  • Release Date : 2016-10-26
  • Genre: Medical
  • Pages : 118
  • ISBN 10 : 9789535127222

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Assessment of Cellular and Organ Function and Dysfunction using Direct and Derived MRI Methodologies Excerpt :

Despite the tremendous growth in the field of magnetic resonance imaging (MRI) evidenced in the initial phases of its development in the early twentieth century, scientific focus has shifted in recent years toward the study of physiology and pathophysiology that span the spatial scales of the molecule, cell, tissue, and organ. Intensified research activities over the past 15 years have justified efforts toward molecular and cellular imaging, dual-modality imaging systems, real-time acquisitions, dedicated image processing techniques and applications, and the critical evaluation of their potential translational value for use in the clinic. The integrative focus on molecular-cellular-tissue-organ function and dysfunction has taken a primary role in modern, personalized medicine, and it is envisaged to continue to do so, as accumulated knowledge from basic and clinical science work continues to elucidate molecular, cellular, and physiological/pathophysiological pathways and mechanisms. In this scientific effort, MRI continues to play a critical and synergistic role from the perspectives of basic science, diagnosis, and clinical interventional/therapeutic approaches. Within the realm of the current role of MRI in modern medicine, this book summarizes state-of-the-art direct and derived MRI methodologies and approaches as applied toward the assessment of cellular and organ function and dysfunction. The contributions in this effort are not excessive but few, comprehensive, and distinguished and of high quality. The topic areas can be generalized to find applications in other scientific areas and span both brain and cardiac applications, extending interest to wider audiences.

Intelligent Data Analysis for Biomedical Applications Book

Intelligent Data Analysis for Biomedical Applications


  • Author : Hemanth D. Jude
  • Publisher : Academic Press
  • Release Date : 2019-03-15
  • Genre: Computers
  • Pages : 294
  • ISBN 10 : 9780128156438

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Intelligent Data Analysis for Biomedical Applications Excerpt :

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems

Color Medical Image Analysis Book

Color Medical Image Analysis


  • Author : M. Emre Celebi
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-09-16
  • Genre: Technology & Engineering
  • Pages : 206
  • ISBN 10 : 9789400753891

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Color Medical Image Analysis Excerpt :

Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.

Handbook of Biomedical Image Analysis Book

Handbook of Biomedical Image Analysis


  • Author : David Wilson
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-04-25
  • Genre: Medical
  • Pages : 574
  • ISBN 10 : 9780306486081

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Handbook of Biomedical Image Analysis Excerpt :

Our goal is to develop automated methods for the segmentation of thr- dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas images. Registration is performed by a highly parallel imp- mentation of an entropy-based nonrigid registration algorithm using B-spline transformations. We present and evaluate different methods to solve the cor- spondence problem in atlas based registration. An image can be segmented by registering it to an individual atlas, an average atlas, or multiple atlases. When registering to multiple atlases, combining the individual segmentations into a ?nalsegmentationcanbeachievedbyatlasselection,ormulticlassi?erdecision fusion. Wedescribeallthesemethodsandevaluatethesegmentationaccuracies that they achieve by performing experiments with electronic phantoms as well as by comparing their outputs to a manual gold standard. The present work is focused on the mathematical and computational t- ory behind a technique for deformable image registration termed Hyperelastic Warping, and demonstration of the technique via applications in image regist- tion and strain measurement. The approach combines well-established prin- ples of nonlinear continuum mechanics with forces derived directly from thr- dimensional image data to achieve registration. The general approach does not require the de?nition of landmarks, ?ducials, or surfaces, although it can - commodate these if available. Representative problems demonstrate the robust and ?exible nature of the approach. Three-dimensional registration methods are introduced for registering MRI volumes of the pelvis and prostate. The chapter ?rst reviews the applications, xi xii Preface challenges, and previous methods of image registration in the prostate.

Biomedical Diagnostics and Clinical Technologies  Applying High Performance Cluster and Grid Computing Book

Biomedical Diagnostics and Clinical Technologies Applying High Performance Cluster and Grid Computing


  • Author : Pereira, Manuela
  • Publisher : IGI Global
  • Release Date : 2010-09-30
  • Genre: Technology & Engineering
  • Pages : 396
  • ISBN 10 : 9781605662817

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Biomedical Diagnostics and Clinical Technologies Applying High Performance Cluster and Grid Computing Excerpt :

Biomedical Diagnostics and Clinical Technologies: Applying High-Performance Cluster and Grid Computing disseminates knowledge regarding high performance computing for medical applications and bioinformatics. This critical reference source contains a valuable collection of cutting-edge research chapters for those working in the broad field of medical informatics and bioinformatics.

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes Book

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes


  • Author : Karâa, Wahiba Ben Abdessalem
  • Publisher : IGI Global
  • Release Date : 2015-11-03
  • Genre: Medical
  • Pages : 335
  • ISBN 10 : 9781466688124

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Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes Excerpt :

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.