Biomedical Texture Analysis
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Biomedical Texture Analysis
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Author : Adrien Depeursinge
language : en
Publisher: Academic Press
Release Date : 2017-08-25
Biomedical Texture Analysis written by Adrien Depeursinge and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-25 with Computers categories.
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
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Author : Rangaraj M. Rangayyan
language : en
Publisher: CRC Press
Release Date : 2004-12-30
Biomedical Image Analysis written by Rangaraj M. Rangayyan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12-30 with Medical categories.
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
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Author : Mark Haidekker
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-29
Advanced Biomedical Image Analysis written by Mark Haidekker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-29 with Science categories.
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.
Biomedical Image Processing
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Author : Thomas Martin Deserno
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-01
Biomedical Image Processing written by Thomas Martin Deserno and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-01 with Science categories.
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.
Pattern Recognition And Signal Analysis In Medical Imaging
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Author : Anke Meyer-Baese
language : en
Publisher: Elsevier
Release Date : 2003-12-17
Pattern Recognition And Signal Analysis In Medical Imaging written by Anke Meyer-Baese and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-17 with Computers categories.
Medical Imaging has become one of the most important visualization and interpretation methods in biology and medecine over the past decade. This time has witnessed a tremendous development of new, powerful instruments for detecting, storing, transmitting, analyzing, and displaying medical images. This has led to a huge growth in the application of digital processing techniques for solving medical problems. Design, implementation, and validation of complex medical systems requires a tight interdisciplinary collaboration between physicians and engineers because poor image quality leads to problematic feature extraction, analysis, and recognition in medical application. Therefore, much of the research done today is geared towards improvement of imperfect image material. This important book by academic authority Anke Meyer-Baese compiles, organizes and explains a complete range of proven and cutting-edge methods, which are playing a leading role in the improvement of image quality, analysis and interpretation in modern medical imaging. These methods offer fresh tools of hope for physicians investigating a vast number of medical problems for which classical methods prove insufficient.*Essential tool for serious students and professionals working with Medical Imaging
Content Based Retrieval Of Medical Images
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Author : Paulo Mazzoncini de Azevedo Marques
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2013
Content Based Retrieval Of Medical Images written by Paulo Mazzoncini de Azevedo Marques and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
"The aim of this book is to present some of the recent developments in the areas of CBIR [content-based image retrieval] and CAD [computer-aided diagnosis], with particular reference to mammography and breast cancer"--Preface.
Biomedical Engineering Systems And Technologies
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Author : Mireya Fernández-Chimeno
language : en
Publisher: Springer
Release Date : 2014-11-01
Biomedical Engineering Systems And Technologies written by Mireya Fernández-Chimeno and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-01 with Medical categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2013, held in Barcelona, Spain, in February 2013. The 28 revised full papers presented were carefully reviewed and selected from a total of 392 submissions. The papers cover a wide range of topics and are organized in four general topical sections on biomedical electronics and devices; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.
Progress In Pattern Recognition Image Analysis Computer Vision And Applications
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Author : João Manuel R. S. Tavares
language : en
Publisher: Springer Nature
Release Date : 2022-01-13
Progress In Pattern Recognition Image Analysis Computer Vision And Applications written by João Manuel R. S. Tavares and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Computers categories.
This book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10–13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision.
Computer Vision For Biomedical Image Applications
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Author : Yanxi Liu
language : en
Publisher: Springer
Release Date : 2005-11-18
Computer Vision For Biomedical Image Applications written by Yanxi Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-18 with Computers categories.
With the rapid increase in the variety and quantity of biomedical images in recent years, we see a steadily growing number of computer vision technologies applied to biomedical applications. The time is ripe for us to take a closer look at the accomplishments and experiences gained in this research subdomain, and to strategically plan the directions of our future research. The scientific goal of our workshop, “Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends” (CVBIA), is to examine the diverse applications of computer vision to biomedical image applications, considering both current methods and promising new trends. An additional goal is to provide the opportunity for direct interactions between (1) prominent senior researchers and young scientists, including students, postdoctoral associates and junior faculty; (2) local researchers and international leaders in biomedical image analysis; and (3) computer scientists and medical practitioners. Our CVBIA workshop had two novel characteristics: each contributed paper was authored primarily by a young scientist, and the workshop attracted an unusually large number of well-respected invited speakers (and their papers). We had the good fortune of having Dr. Ayache of INRIA, France to talk about “Computational Anatomy and Computational Physiology,” Prof. Grimson of MIT to discuss “Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge,” Dr. Jiang of the Chinese Academy of Sciences to present their work on “Computational Neuroanatomy and Brain Connectivity,” Prof.