Adaptive-model Predictive Lossless Compression of Medical Images PDF Download
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Author: Akmal A. Younis
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 208
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Book Description
Author: Akmal A. Younis
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 208
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Book Description
![Adaptive, Statistical, Context Modelling for Predictive Coding of Medical Images [microform] PDF](https://books.google.com/books/content/images/frontcover/I2r-wQEACAAJ?fife=w80-h100)
Author: Qiang Yuan
Publisher: National Library of Canada = Bibliothèque nationale du Canada
ISBN: 9780612210561
Category : Coding theory
Languages : en
Pages : 65
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Book Description
In this thesis, we study adaptive, statistical, context based error modelling techniques for predictive coding of medical images. The proposed modelling techniques are developed from the general purpose lossless image coding algorithm - CALIC, one of the state of art lossless image coders, and are aimed to reduce the model cost of a universal coder by utilizing a priori knowledge of input images. This context-based, adaptive modelling of prediction errors is optimized for the MR head image class, and the model cost can be disregarded since the model can be precomputed and saved for a particular type of images. The proposed approach improves the average compression code length by 0.32bpp over the universal CALIC through (1) Optimizing prediction function; (2) Type-customized context modelling of prediction errors; (3) Reducing the cost of learning source statistics from scratch by modelling initial conditional probabilities of prediction errors. We use linear regression to calculate the optimal least square coefficients of prediction function based on a set of training images. This lowers the average entropy by more than 0.1bpp. By modelling context optimization and using precomputed error model, error distributions from a set of training images, we obtain another average gain of 0.07bpp. We achieve 0.08bpp improvement by modelling initial conditional probabilities of prediction errors.
Author: Amine Nait-Ali
Publisher: John Wiley & Sons
ISBN: 1118623800
Category : Science
Languages : en
Pages : 328
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Book Description
During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images. Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest.
Author: Dey, Nilanjan
Publisher: IGI Global
ISBN: 1522563172
Category : Medical
Languages : en
Pages : 360
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Book Description
Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.
Author: Wladyslaw Skarbek
Publisher: Springer
ISBN: 3540446923
Category : Computers
Languages : en
Pages : 757
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Book Description
Computer analysis of images and patterns is a scienti c eld of longstanding tradition, with roots in the early years of the computer era when electronic brains inspired scientists. Moreover, the design of vision machines is a part of humanity’s dream of the arti cial person. I remember the 2nd CAIP, held in Wismar in 1987. Lectures were read in German, English and Russian, and proceedings were also only partially written in English. The conference took place under a di erent political system and proved that ideas are independent of political walls. A few years later the Berlin Wall collapsed, and Professors Sommer and Klette proposed a new formula for the CAIP: let it be held in Central and Eastern Europe every second year. There was a sense of solidarity with scienti c communities in those countries that found themselves in a state of transition to a new economy. A well-implemented idea resulted in a chain of successful events in Dresden (1991), Budapest (1993), Prague (1995), Kiel (1997), and Ljubljana (1999). This year the conference was welcomed at Warsaw. There are three invited lectures and about 90 contributions written by more than 200 authors from 27 countries. Besides Poland (60 authors), the largest representation comes from France (23), followed by England (16), Czech Republic (11), Spain (10), G- many (9), and Belarus (9). Regrettably, in spite of free registration fees and free accommodation for authors from former Soviet Union countries, we received only one accepted paper from Russia.
Author: Abdul-Rahman Itani
Publisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 240
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Book Description
Author: Chirag Paunwala
Publisher: Springer Nature
ISBN: 3031158164
Category : Technology & Engineering
Languages : en
Pages : 423
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Book Description
This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522505725
Category : Medical
Languages : en
Pages : 2118
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Book Description
Medical imaging has transformed the ways in which various conditions, injuries, and diseases are identified, monitored, and treated. As various types of digital visual representations continue to advance and improve, new opportunities for their use in medical practice will likewise evolve. Medical Imaging: Concepts, Methodologies, Tools, and Applications presents a compendium of research on digital imaging technologies in a variety of healthcare settings. This multi-volume work contains practical examples of implementation, emerging trends, case studies, and technological innovations essential for using imaging technologies for making medical decisions. This comprehensive publication is an essential resource for medical practitioners, digital imaging technologists, researchers, and medical students.
Author: Harish Sharma
Publisher: Springer Nature
ISBN: 9811610894
Category : Technology & Engineering
Languages : en
Pages : 1040
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Book Description
This book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26–27 December 2020. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.
Author: Edward R. Dougherty
Publisher: Hindawi Publishing Corporation
ISBN: 9775945070
Category : DNA microarrays
Languages : en
Pages : 456
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Book Description
Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.
