Guide To Medical Image Analysis

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Guide to Medical Image Analysis

Author : Klaus D. Toennies
Publisher : Springer
Page : 589 pages
File Size : 42,9 Mb
Release : 2017-03-29
Category : Computers
ISBN : 9781447173205

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Guide to Medical Image Analysis by Klaus D. Toennies Pdf

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.

Medical Image Analysis

Author : Alejandro Frangi,Jerry Prince,Milan Sonka
Publisher : Academic Press
Page : 700 pages
File Size : 45,8 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 Processing

Author : Geoff Dougherty
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 53,6 Mb
Release : 2011-07-25
Category : Technology & Engineering
ISBN : 1441997792

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Medical Image Processing by Geoff Dougherty Pdf

The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and “tricks of the trade”. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.

Medical Imaging Systems

Author : Andreas Maier,Stefan Steidl,Vincent Christlein,Joachim Hornegger
Publisher : Springer
Page : 263 pages
File Size : 52,9 Mb
Release : 2018-08-02
Category : Computers
ISBN : 9783319965208

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Medical Imaging Systems by Andreas Maier,Stefan Steidl,Vincent Christlein,Joachim Hornegger Pdf

This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.

Handbook of Medical Image Processing and Analysis

Author : Isaac Bankman
Publisher : Elsevier
Page : 1009 pages
File Size : 50,8 Mb
Release : 2008-12-24
Category : Computers
ISBN : 9780080559148

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Handbook of Medical Image Processing and Analysis by Isaac Bankman Pdf

The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication.The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries.For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing.Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. Includes contributions from internationally renowned authors from leading institutions NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. Provides a complete collection of algorithms in computer processing of medical images Contains over 60 pages of stunning, four-color images

Medical Image Analysis Methods

Author : Lena Costaridou
Publisher : CRC Press
Page : 505 pages
File Size : 46,7 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

The Mathematics of Medical Imaging

Author : Timothy G. Feeman
Publisher : Springer Science & Business Media
Page : 150 pages
File Size : 44,5 Mb
Release : 2010
Category : Computers
ISBN : 9780387927114

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The Mathematics of Medical Imaging by Timothy G. Feeman Pdf

Medical imaging is a major part of twenty-first century health care. This introduction explores the mathematical aspects of imaging in medicine to explain approximation methods in addition to computer implementation of inversion algorithms.

The Essential Guide to Image Processing

Author : Alan C. Bovik
Publisher : Academic Press
Page : 877 pages
File Size : 41,7 Mb
Release : 2009-07-08
Category : Technology & Engineering
ISBN : 9780080922515

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The Essential Guide to Image Processing by Alan C. Bovik Pdf

A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland "Al Bovik’s compendium proceeds systematically from fundamentals to today’s research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA "This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field An essential reference for all types of engineers working on image processing applications Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000

Notes on Medical Image Processing with Deep Learning

Author : Taposh Dutta Roy
Publisher : Unknown
Page : 62 pages
File Size : 46,6 Mb
Release : 2020-11-11
Category : Electronic
ISBN : 9798550720721

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Notes on Medical Image Processing with Deep Learning by Taposh Dutta Roy Pdf

Healthcare is a domain which deals variety of data - structured, semi-structured and un-structured data such as raw-text, images, sound, and sensory. A lot of research work has been focused on analyzing structured data from text sources. However, with the advent of better transducers and data processing capabilities we can connect these different types of data. This opens up a new paradigm to engage un-structured data with structured data. One such semi-structured data is Medical Image data. A lot of medical images are saved in various formats such as DICOM, NIFTI, JPEG and others. This document provides basic understanding in this area.How to use this book?This book covers the basics to do medical image processing and deep-learning. It provides papers to read and understand, general questions about the topic to think through and ponder, and advanced programming questions. If you follow through all the content, by the time you finish reading this small book, you would have gained enough knowledge to become a proficient in this area. Further, this area is changing faster than ever, so I will try to keep updating the content every year if possible.Why did I write this book?As I was researching on some of these areas, I wrote blog posts. Readers have been asking me for variety of questions on these. With this book, I am collecting all this information into one source, and providing a overview and connection of building blocks for medical image processing.My blog-post and links are here:Basics of GPU Computing for Data Scientists:https://medium.com/@taposhdr/gpu-s-have-become-the-new-core-for-image-analytics-b8ba8bd8d8f3Medical Image Analysis with Deep Learning - I:https://medium.com/@taposhdr/medical-image-analysis-with-deep-learning-i-23d518abf531Medical Image Analysis with Deep Learning - II:https://medium.com/@taposhdr/medical-image-analysis-with-deep-learning-ii-166532e964e6Medical Image Analysis with Deep Learning - III:https://medium.com/@taposhdr/medical-image-analysis-with-deep-learning-iii-eb01cc219aa2Medical Image Analysis with Deep Learning - IV:https://medium.com/@taposhdr/medical-image-analysis-with-deep-learning-iv-479b5fa446e7

Handbook of Medical Image Computing and Computer Assisted Intervention

Author : S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger
Publisher : Academic Press
Page : 1074 pages
File Size : 47,9 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9780128165867

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Handbook of Medical Image Computing and Computer Assisted Intervention by S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger Pdf

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

A Patient's Guide to Medical Imaging

Author : Ronald Eisenberg, JD, MD, FACR,Ronald L. Eisenberg,Alexander Margulis, MD
Publisher : Oxford University Press
Page : 256 pages
File Size : 44,9 Mb
Release : 2011-03-02
Category : Health & Fitness
ISBN : 9780199729913

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A Patient's Guide to Medical Imaging by Ronald Eisenberg, JD, MD, FACR,Ronald L. Eisenberg,Alexander Margulis, MD Pdf

Knowing what to expect from a medical imaging procedure can decrease patient anxiety. This book explains the reasons for obtaining various studies, what preparation is needed, how the procedure is performed, how long it usually lasts, and what the patient will feel - all designed to permit a less stressful experience.

Biosignal and Medical Image Processing, Second Edition

Author : John L. Semmlow
Publisher : CRC Press
Page : 472 pages
File Size : 47,5 Mb
Release : 2008-10-24
Category : Medical
ISBN : 1420062301

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Biosignal and Medical Image Processing, Second Edition by John L. Semmlow Pdf

A Practical Guide to Signal Processing Methodology Just as a cardiologist can benefit from an oscilloscope-type display of the ECG without a deep understanding of electronics, an engineer can benefit from advanced signal processing tools without always understanding the details of the underlying mathematics. Through the use of extensive MATLAB® examples and problems, Biosignal and Medical Image Processing, Second Edition provides readers with the necessary knowledge to successfully evaluate and apply a wide range of signal and image processing tools. The book begins with an extensive introductory section and a review of basic concepts before delving into more complex areas. Topics discussed include classical spectral analysis, basic digital filtering, advanced spectral methods, spectral analysis for time-variant spectrums, continuous and discrete wavelets, optimal and adaptive filters, and principal and independent component analysis. In addition, image processing is discussed in several chapters with examples taken from medical imaging. Finally, new to this second edition are two chapters on classification that review linear discriminators, support vector machines, cluster techniques, and adaptive neural nets. Comprehensive yet easy to understand, this revised edition of a popular volume seamlessly blends theory with practical application. Most of the concepts are presented first by providing a general understanding, and second by describing how the tools can be implemented using the MATLAB software package. Through the concise explanations presented in this volume, readers gain an understanding of signal and image processing that enables them to apply advanced techniques to applications without the need for a complex understanding of the underlying mathematics. A solutions manual is available for instructors wishing to convert this reference to classroom use.

Medical Image Analysis

Author : Atam P. Dhawan
Publisher : John Wiley & Sons
Page : 396 pages
File Size : 53,5 Mb
Release : 2011-03-29
Category : Technology & Engineering
ISBN : 9780470922897

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Medical Image Analysis by Atam P. Dhawan Pdf

The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter. A new chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging will be added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image analysis part, chapters on image reconstructions and visualizations will be significantly enhanced to include, respectively, 3-D fast statistical estimation based reconstruction methods, and 3-D image fusion and visualization overlaying multi-modality imaging and information. A new chapter on Computer-Aided Diagnosis and image guided surgery, and surgical and therapeutic intervention will also be added. A companion site containing power point slides, author biography, corrections to the first edition and images from the text can be found here: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/ Send an email to: [email protected] to obtain a solutions manual. Please include your affiliation in your email.

Deep Learning for Medical Image Analysis

Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publisher : Academic Press
Page : 544 pages
File Size : 43,6 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9780323858885

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Deep Learning for Medical Image Analysis by S. Kevin Zhou,Hayit Greenspan,Dinggang Shen Pdf

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache

Medical Image Processing for Improved Clinical Diagnosis

Author : Swarnambiga, A.
Publisher : IGI Global
Page : 313 pages
File Size : 40,8 Mb
Release : 2018-08-31
Category : Medical
ISBN : 9781522558774

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Medical Image Processing for Improved Clinical Diagnosis by Swarnambiga, A. Pdf

In the medical field, there is a constant need to improve professionals’ abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.