Digital Image Processing In Medicine
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Digital Image Processing In Medicine
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Author : K. H. Höhne
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-07
Digital Image Processing In Medicine written by K. H. Höhne 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 2013-03-07 with Medical categories.
In diagnostic medicine a large part of information about the patient is drawn from data, which, more or less, are represented in an opti calor pictorial form. There is a very wide range of such data as e.g. the patients appearance, the various kinds of radiological images, or cytological imagery. In conventional diagnostics the data, as it comes from the acquisition device, is perceived by the physician and is interpreted with the help of a large amount of "a priori" knowledge to give a diagnostic finding. During the last 15 years a steadily rising number of attempts have been made to support these processes by the application of com puters. The attempts mainly concentrate on three objectives: 1. Support of the perception process by the production of better or new types of images, e.g. by Computer tomography or Computer angio graphy (image processing) . 2. Automation of the interpretation process, e.g. for bloodcell dif ferentiation (pattern recognition) . 3. Management of the steeply rising amount of medical image data in the hospital (image data bases) . Although the early applications of digital methods aimed at the second . . objective, in the last years much more success has been a achieved in the support of the perception process by methods of image process ing. The reason for this is obvious - in the case of automatic interpre tation the a priori knowledge of the physician has to be formalized.
Digital Image Processing For Medical Applications
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Author : Geoff Dougherty
language : en
Publisher: Cambridge University Press
Release Date : 2009-04-09
Digital Image Processing For Medical Applications written by Geoff Dougherty and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-09 with Technology & Engineering categories.
Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.
Medical Image Processing
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Author : G.R. SINHA
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2014-01-20
Medical Image Processing written by G.R. SINHA and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-20 with Technology & Engineering categories.
Medical Image Processing: Concepts and Applications presents an overview of image processing for various applications in the field of medical science. Inclusion of several topics like noise reduction filters, feature extraction, image restoration, segmentation, soft computing techniques and context-based medical image retrieval, etc. makes this book a single-source information meeting the requirements of the readers. Besides, the coverage of digital image processing, human visual perception and CAD system to be used in automated diagnosis system, medical imaging modalities, various application areas of medical field, detection and classification of various disease, etc. is highly emphasised in the book. The book, divided into eight chapters, presents the topics in a clear, simple, practical and cogent fashion that provides the students with the insight into theory as well as applications to the practical problems. The research orientation of the book greatly supports the concepts of image processing to be applied for segmentation, classification and detection of affected areas in X-ray, MRI and mammographic and all other medical images. Throughout the book, an attempt has been made to address the challenges faced by radiologists, physicians and doctors in scanning, interpretation and diagnosis process. The book uses an abundance of colour images to impart a high level of comprehension of concepts and helps in mastering the process of medical image processing. Special attention is made on the review of algorithms or methods of medical image formation, processing and analysis, medical imaging applications, and emerging medical imaging modality. This is purely a text dedicated for the undergraduate and postgraduate students of biomedical engineering. The book is also of immense use to the students of computer science engineering and IT who offer a course on digital image processing. Key Points • Chapter-end review questions test the students’ knowledge of the funda-mental concepts. • Course outcomes help the students in capturing the key points. • Several images and information regarding morphological operations given in appendices help in getting additional knowledge in the field of medical image processing.
Fundamentals Of Digital Image Processing In Medical Applications
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Author : Dr. Amruth Ramesh Thelkar
language : en
Publisher: Academic Guru Publishing House
Release Date : 2025-01-06
Fundamentals Of Digital Image Processing In Medical Applications written by Dr. Amruth Ramesh Thelkar and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Study Aids categories.
The book “Fundamentals of Digital Image Processing in Medical Applications” delves into the complex relationship between technology and healthcare, emphasizing the significant impact of image processing on diagnostics and treatment. This book encompasses a broad spectrum of subjects, commencing with the fundamental principles of digital image processing and progressing to intricate techniques that are crucial to contemporary medical imaging systems. It explores the techniques that are employed in medical applications to improve image quality, including contrast adjustment, noise reduction, and edge detection, to give readers a comprehensive comprehension of their application. Pattern recognition, automated diagnostics, and image classification are all examples of artificial intelligence that are revolutionizing healthcare practices. A particular emphasis is placed on their integration into the field. The book also tackles the critical challenges in medical imaging, including the necessity for precise tumor detection, multimodal image integration, and the storage and retrieval of medical images. “Fundamentals of Digital Image Processing in Medical Applications” is a valuable educational resource and reference for anyone interested in understanding the intersection of image processing and medical technology, as it provides a diverse array of theoretical foundations, real-world applications, and emerging trends.
Handbook Of Medical Image Processing And Analysis
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Author : Isaac Bankman
language : en
Publisher: Elsevier
Release Date : 2008-12-24
Handbook Of Medical Image Processing And Analysis written by Isaac Bankman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-24 with Computers categories.
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
Digital Image Processing
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Author : Rafael C. Gonzalez
language : en
Publisher: Prentice Hall
Release Date : 2008
Digital Image Processing written by Rafael C. Gonzalez and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.
Digital Image Processing In Medicine
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Author :
language : en
Publisher:
Release Date : 1981
Digital Image Processing In Medicine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.
Digital Image Processing Applications
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Author : Paulo Ambrosio
language : en
Publisher: BoD – Books on Demand
Release Date : 2022-04-20
Digital Image Processing Applications written by Paulo Ambrosio and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-20 with Computers categories.
Digital image processing can refer to a wide variety of techniques, concepts, and applications of different types of processing for different purposes. This book provides examples of digital image processing applications and presents recent research on processing concepts and techniques. Chapters cover such topics as image processing in medical physics, binarization, video processing, and more.
Digital Image Quality In Medicine
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Author : Oleg S. Pianykh
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-21
Digital Image Quality In Medicine written by Oleg S. Pianykh 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 2013-10-21 with Medical categories.
Making a good diagnostic image is only the beginning; keeping it good and diagnostically sound is a much more difficult proposition, one that is often neglected or forgotten by clinical practitioners. With anything digital, the assumption of persistent original quality opens a Pandora’s box of medical fiascos. Poorly selected image interpolation, thoughtlessly used compression, confused image enhancement options and the like can transform a good original into a useless clutter of pixels. This book is dedicated to learning better options. Intended for physicians, clinical practitioners and applications specialists, it provides a well-rounded introduction to meaningful diagnostic image housekeeping. The book presents the most important aspects of safe digital image workflows, starting from the basic practical implications and gradually uncovering the underlying concepts and algorithms. With an easy-to-follow, down-to-earth presentation style, the text helps you to optimize your diagnostic imaging projects and connect the dots of medical informatics.
Advanced Digital Image Processing And Its Applications In Big Data
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Author : Ankur Dumka
language : en
Publisher: CRC Press
Release Date : 2020-12-09
Advanced Digital Image Processing And Its Applications In Big Data written by Ankur Dumka and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with Computers categories.
This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.