Biomedical Texture Analysis

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Biomedical Texture Analysis

Author : Adrien Depeursinge,Omar S Al-Kadi,J.Ross Mitchell
Publisher : Academic Press
Page : 432 pages
File Size : 48,5 Mb
Release : 2017-08-25
Category : Computers
ISBN : 9780128123218

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Biomedical Texture Analysis by Adrien Depeursinge,Omar S Al-Kadi,J.Ross Mitchell Pdf

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 biomedical texture operators Showcases applications where biomedical texture analysis has succeeded and failed Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis

Biomedical Image Analysis

Author : Rangaraj M. Rangayyan
Publisher : CRC Press
Page : 1312 pages
File Size : 52,7 Mb
Release : 2004-12-30
Category : Medical
ISBN : 9780203492543

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Biomedical Image Analysis by Rangaraj M. Rangayyan Pdf

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

Author : Mark Haidekker
Publisher : John Wiley & Sons
Page : 545 pages
File Size : 55,5 Mb
Release : 2011-03-29
Category : Science
ISBN : 9781118099483

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Advanced Biomedical Image Analysis by Mark Haidekker Pdf

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. 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

Author : Deepika Koundal,Savita Gupta
Publisher : Academic Press
Page : 324 pages
File Size : 44,5 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

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

Author : Rani, Geeta,Tiwari, Pradeep Kumar
Publisher : IGI Global
Page : 586 pages
File Size : 47,8 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9781799827436

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by Rani, Geeta,Tiwari, Pradeep Kumar Pdf

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.

Biomedical Image Processing

Author : Thomas Martin Deserno
Publisher : Springer Science & Business Media
Page : 595 pages
File Size : 40,9 Mb
Release : 2011-03-01
Category : Science
ISBN : 9783642158162

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Biomedical Image Processing by Thomas Martin Deserno Pdf

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.

Intelligent Data Analysis for Biomedical Applications

Author : Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas
Publisher : Academic Press
Page : 294 pages
File Size : 51,9 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9780128156438

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Intelligent Data Analysis for Biomedical Applications by Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas Pdf

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

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

Author : Gonzalez, Fabio A.,Romero, Eduardo
Publisher : IGI Global
Page : 390 pages
File Size : 45,8 Mb
Release : 2009-12-31
Category : Computers
ISBN : 9781605669571

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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques by Gonzalez, Fabio A.,Romero, Eduardo Pdf

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

Handbook of Biomedical Image Analysis

Author : David Wilson,Swamy Laxminarayan
Publisher : Springer Science & Business Media
Page : 574 pages
File Size : 52,7 Mb
Release : 2007-04-25
Category : Medical
ISBN : 9780306486081

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Handbook of Biomedical Image Analysis by David Wilson,Swamy Laxminarayan Pdf

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.

Handbook of Texture Analysis

Author : Ayman El-Baz,Ghazal Mohammad a,Jasjit S Suri
Publisher : Unknown
Page : 0 pages
File Size : 50,6 Mb
Release : 2024-04
Category : Electronic
ISBN : 1032727411

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Handbook of Texture Analysis by Ayman El-Baz,Ghazal Mohammad a,Jasjit S Suri Pdf

This two-volume handbook provides a comprehensive view of texture analysis in both AI-based industrial and medical imaging applications. The first volume covers texture analysis for neuroradiology; information-theoretic entropy; chronic liver diseases; clinical management of focal liver lesions; abdominal imaging; optical coherence tomography images; thoracic imaging; prostate cancer; breast cancer; bladder cancer, quality evaluation of meat products; and detection of powdery mildew on strawberry leaves. The second volume covers Local Binary Descriptors for Texture Classification; Precision Grading of Glioma; Liver Tumor Detection and Grading; Texture Analysis in Radiology; Texture Analysis Using a Self-Organizing Feature Map; Sensor-Based Human Activity Recognition Analysis Using Machine Learning and Topological Data Analysis; Texture Analysis in Retinal OCT Imaging; Pneumonia Detection; Prostatic Adenocarcinoma; and Texture Analysis in Cancer Prognosis. Aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering, this handbook is an essential reference for those looking to advance their understanding in this applied and emergent field.

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

Author : Pereira, Manuela,Freire, Mario
Publisher : IGI Global
Page : 396 pages
File Size : 44,6 Mb
Release : 2010-09-30
Category : Technology & Engineering
ISBN : 9781605662817

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Biomedical Diagnostics and Clinical Technologies: Applying High-Performance Cluster and Grid Computing by Pereira, Manuela,Freire, Mario Pdf

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.

Medical Image Analysis

Author : Alejandro Frangi,Jerry Prince,Milan Sonka
Publisher : Academic Press
Page : 700 pages
File Size : 48,7 Mb
Release : 2023-09-20
Category : Technology & Engineering
ISBN : 9780128136584

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Medical Image Analysis by Alejandro Frangi,Jerry Prince,Milan Sonka Pdf

Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. Provides an authoritative description of key concepts and methods Includes tutorial-based sections that clearly explain principles and their application to different medical domains Presents a representative selection of topics to match a modern and relevant approach to medical image computing

Medical Image Analysis Methods

Author : Lena Costaridou
Publisher : CRC Press
Page : 505 pages
File Size : 55,9 Mb
Release : 2005-07-13
Category : Medical
ISBN : 9780203500453

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Medical Image Analysis Methods by Lena Costaridou Pdf

To successfully detect and diagnose disease, it is vital for medical diagnosticians to properly apply the latest medical imaging technologies. It is a worrisome reality that due to either the nature or volume of some of the images provided, early or obscured signs of disease can go undetected or be misdiagnosed. To combat these inaccuracies, diagno

Computers in Medical Activity

Author : Edward Kacki,Marek Rudnicki,Joanna Stempczynska
Publisher : Springer Science & Business Media
Page : 274 pages
File Size : 49,5 Mb
Release : 2009-10-13
Category : Technology & Engineering
ISBN : 9783642044625

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Computers in Medical Activity by Edward Kacki,Marek Rudnicki,Joanna Stempczynska Pdf

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.

Pattern Recognition and Signal Analysis in Medical Imaging

Author : Anke Meyer-Baese,Volker J. Schmid
Publisher : Elsevier
Page : 466 pages
File Size : 54,8 Mb
Release : 2014-03-21
Category : Technology & Engineering
ISBN : 9780124166158

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Pattern Recognition and Signal Analysis in Medical Imaging by Anke Meyer-Baese,Volker J. Schmid Pdf

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