May 9, 2021

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Diabetes and Cardiovascular Disease

Diabetes and Cardiovascular Disease
Author : Ayman S. El-Baz,Jasjit S. Suri
Publisher : Elsevier
Release Date : 2021-03-26
Category : Medical
Total pages :372
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Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease brings together multifaceted information on research and clinical applications from an academic, clinical, bioengineering and bioinformatics perspective. The editors provide a stellar, diverse list of authors to explore this interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and heart disease need an authoritative reference to reduce the amount of time spent on source-searching so they can spend more time on actual research and clinical application. This reference accomplishes this with contributions by authors from around the world. Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and cardiovascular disease Discusses the impact of diabetes on cardiovascular disease Covers statistical classification techniques and risk stratification

A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments

A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments
Author : Juri Yanase,Evangelos Triantaphyllou
Publisher : Infinite Study
Release Date : 2021
Category : Mathematics
Total pages :51
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Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine.

Diabetes and Fundus OCT

Diabetes and Fundus OCT
Author : Ayman S. El-Baz,Jasjit S. Suri
Publisher : Elsevier
Release Date : 2020-04-17
Category : Medical
Total pages :434
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Diabetes and Fundus OCT brings together a stellar cast of authors who review the computer-aided diagnostic (CAD) systems developed to diagnose non-proliferative diabetic retinopathy in an automated fashion using Fundus and OCTA images. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to help reduce the amount of time spent on source-searching and instead focus on actual research and the clinical application. This reference depicts the current clinical understanding of diabetic retinopathy, along with the many scientific advances in understanding this condition. As the role of optical coherence tomography (OCT) in the assessment and management of diabetic retinopathy has become significant in understanding the vireo retinal relationships and the internal architecture of the retina, this information is more critical than ever. Includes unique information for academic clinicians, researchers and bioengineers Provides insights needed to understand the imaging modalities involved, the unmet clinical need that is being addressed, and the engineering and technical approaches applied Brings together details on the retinal vasculature in diabetics as imaged by optical coherence tomography angiography and automated detection of retinal disease

Digital Mammography

Digital Mammography
Author : Nico Karssemeijer,Martin Thijssen,Jan Hendriks,Leon van Erning
Publisher : Springer Science & Business Media
Release Date : 2012-12-06
Category : Medical
Total pages :519
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In June 1998 the Fourth International Workshop on Digital Mammography was held in Nijmegen, The Netherlands, where it was hosted by the department of Radiology of the University Hospital Nijmegen. This series of meetings was initiated at the 1993 SPIE Biomedical Image Processing Conference in San Jose, USA, where a number of sessions were entirely devoted to mammographic image analysis. At very successful subsequent workshops held in York, UK (1994) and Chicago, USA (1996), the scope of the conference was broadened, establishing a platform for presentation and discussion of new developments in digital mammog raphy. Topics that are addressed at these meetings are computer-aided diagnosis, image processing, detector development, system design, observer performance and clinical evaluation. The goal is to bring researchers from universities, breast cancer experts, and engineers together, to exchange information and present new scientific developments in this rapidly evolving field. This book contains all the scientific papers and posters presented at the work shop in Nijmegen. Contributions came from as many as 20 different countries and 190 participants attended the meeting. At a technical exhibit companies demon strated new products and work in progress. Abstracts of all papers were reviewed by members of the scientific committee. Many of the accepted papers had excellent quality, but due to limited space not all of them could be included as full papers in these proceedings. Papers that were rated high by the reviewers are included as long or short papers, others appear as extended abstracts in the last chapter.

Diabetes and Retinopathy

Diabetes and Retinopathy
Author : Ayman S. El-Baz,Jasjit S. Suri
Publisher : Elsevier
Release Date : 2020-05-12
Category : Medical
Total pages :246
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Diabetes and Retinopathy brings together the multifaceted information about the research and clinical application from academic, clinical, bioengineering and bioinformatics perspectives. The editors bring together a stellar cast of authors to pull together this diverse and interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to reduce the amount of time spent on source-searching and more time on actual research and the clinical application. This reference depicts the current clinical understanding of DR as well as the many scientific advances in understanding this condition. Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and retinopathy Discusses the impact of diabetic retinopathy, a major cause of new-onset visual loss in all the industrialized nations Covers statistical classification techniques and risk stratification

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
Author : Kenji Suzuki,Yisong Chen
Publisher : Springer
Release Date : 2018-01-09
Category : Technology & Engineering
Total pages :387
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This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.

The Ethics of Diagnosis

The Ethics of Diagnosis
Author : José Luis Peset,Diego Gracia Guillén
Publisher : Springer Science & Business Media
Release Date : 2007-07-23
Category : Medical
Total pages :315
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A major focus of the philosophy of medicine and, in general, of the philosophy of science has been the interplay of facts and values. Nowhere is an evaluation of this interplay more important than in the ethics of diagnosis. Traditionally, diagnosis has been understood as an epistemological activity which is concerned with facts and excludes the intrusion of values. The essays in this volume challenge this assumption. Questions of knowledge in diagnosis are intimately related to the concerns with intervention that characterize the applied science of medicine. Broad social and individual goals, as well as diverse ethical frameworks, are shown to condition both the processes and results of diagnosis. This has significant implications for bioethics, implications that have not previously been developed. With this volume, `the ethics of diagnosis' is established as an important branch of bioethics.

Computer-aided Diagnosis in Medical Imaging

Computer-aided Diagnosis in Medical Imaging
Author : Kunio Doi
Publisher : Excerpta Medica
Release Date : 1999
Category : Medical
Total pages :563
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Hardbound. Over the last decade or so, many investigators have carried out basic studies and clinical applications toward the development of modern computerized schemes for detection and characterization of lesions in radiologic images, based on computer vision and artificial intelligence. These methods and techniques are generally called computer-aided diagnosis (CAD) schemes. The development of CAD has now reached a new phase, since the first commercial unit of detection of breast lesion in mammograms was approved in June 1998 by the FDA for marketing and sale for clinical use.This book, Computer-Aided Diagnosis in Medical Imaging, presents papers from the First International Workshop on Computer-Aided Diagnosis held on September, 1998 at the University of Chicago Downtown Center. The meeting provided a forum for leading researchers and practitioners in this rapidly expanding field, encompassing automated image analysis, quantitation of im

Computer Assisted Radiology / Computergestützte Radiologie

Computer Assisted Radiology / Computergestützte Radiologie
Author : Heinz U. Lemke,Kiyonari Inamura,C.Carl Jaffe,Roland Felix
Publisher : Springer Science & Business Media
Release Date : 2013-06-29
Category : Technology & Engineering
Total pages :836
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CAR is a symposium and exhibition covering the impact of computer and communication systems applied to radiology and other medical disciplines, which use digital imaging for diagnosis and therapy planning. CAR '93 also provides tutorials, but more emphasis is given to a broad variety of specific problems related to medical/technical issues in digital imaging. This is achieved through in-depth presentations of results of current medical imaging projects on a worldwide basis.

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis
Author : Suzuki, Kenji
Publisher : IGI Global
Release Date : 2012-01-31
Category : Computers
Total pages :524
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"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.

Computer-Aided Detection and Diagnosis in Medical Imaging

Computer-Aided Detection and Diagnosis in Medical Imaging
Author : Qiang Li,Robert M. Nishikawa
Publisher : Taylor & Francis
Release Date : 2015-03-17
Category : Medical
Total pages :454
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Improve the Accurate Detection and Diagnosis of Cancer and Other Diseases Despite the expansion of the CAD field in recent decades, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis in Medical Imaging covers the major technical advances and methodologies shaping the development and clinical utility of CAD systems in breast imaging, chest imaging, abdominal imaging, and other emerging applications. After a historical overview of CAD, the book is divided into four sections. The first section presents CAD technologies in breast imaging, which is the most advanced area of CAD application. The second section discusses CAD technologies in chest and abdominal imaging. The third section explores emerging CAD technologies in a wide range of imaging modalities designed to address a variety of diseases. The final section describes the current use of CAD systems in clinical practice as well as how CAD will play an important role in quantitative image biomarkers and imaging genomics research. This book brings together existing and emerging CAD approaches at a level understandable to students, CAD system developers, basic scientists, and physician scientists. Newcomers to CAD research will learn about fundamental aspects in the process of CAD system development. Developers of CAD systems will gain insight on designing new or improved CAD systems. Experienced researchers will get up-to-date information on the latest CAD technologies.

Cumulated Index Medicus

Cumulated Index Medicus
Author : Anonim
Publisher : Unknown
Release Date : 1983
Category : Medicine
Total pages :129
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Imaging in Dermatology

Imaging in Dermatology
Author : Michael R. Hamblin,Pinar Avci,Gaurav K Gupta
Publisher : Academic Press
Release Date : 2016-07-29
Category : Medical
Total pages :560
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Imaging in Dermatology covers a large number of topics in dermatological imaging, the use of lasers in dermatology studies, and the implications of using these technologies in research. Written by the experts working in these exciting fields, the book explicitly addresses not only current applications of nanotechnology, but also discusses future trends of these ever-growing and rapidly changing fields, providing clinicians and researchers with a clear understanding of the advantages and challenges of laser and imaging technologies in skin medicine today, along with the cellular and molecular effects of these technologies. Outlines the fundamentals of imaging and lasers for dermatology in clinical and research settings Provides knowledge of current and future applications of dermatological imaging and lasers Coherently structured book written by the experts working in the fields covered

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Author : Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi
Publisher : Academic Press
Release Date : 2018-11-30
Category : Science
Total pages :345
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains

Pattern Recognition and Signal Analysis in Medical Imaging

Pattern Recognition and Signal Analysis in Medical Imaging
Author : Anke Meyer-Baese,Volker J. Schmid
Publisher : Elsevier
Release Date : 2014-03-21
Category : Technology & Engineering
Total pages :466
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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