Tuesday, June 22, 2021

Visualization in Medicine

Visualization in Medicine PDF
By:Bernhard Preim,Dirk Bartz
Published on 2007-06-21 by Elsevier

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Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons. * A core field of visualization and graphics missing a dedicated book until now * Written by pioneers in the field and illustrated in full color * Covers theory as well as practice

This Book was ranked at 16 by Google Books for keyword computer based medical systems.

Book ID of Visualization in Medicine's Books is rmgXE9jWjVgC, Book which was written byBernhard Preim,Dirk Bartzhave ETAG "t8L04K6MWPY"

Book which was published by Elsevier since 2007-06-21 have ISBNs, ISBN 13 Code is 9780080549057 and ISBN 10 Code is 0080549055

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Book which have "680 Pages" is Printed at BOOK under CategoryComputers

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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging PDF
By:Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi
Published on 2018-11-30 by Academic Press

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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

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Book ID of Machine Learning in Bio-Signal Analysis and Diagnostic Imaging's Books is 3OR8DwAAQBAJ, Book which was written byNilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shihave ETAG "7fTXZAEGw7s"

Book which was published by Academic Press since 2018-11-30 have ISBNs, ISBN 13 Code is 9780128160879 and ISBN 10 Code is 012816087X

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Book which have "345 Pages" is Printed at BOOK under CategoryScience

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Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis PDF
By:Taylor & Francis Group
Published on 2021-08-09 by CRC Press

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Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. The volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data, sample annotation, region of interest identification, proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. Features: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners. The volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics, computer science and electronics and communication engineering. In addition, the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.

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Book ID of Disruptive Trends in Computer Aided Diagnosis's Books is nIIxzgEACAAJ, Book which was written byTaylor & Francis Grouphave ETAG "X+HJVNSW94Q"

Book which was published by CRC Press since 2021-08-09 have ISBNs, ISBN 13 Code is 9780367493370 and ISBN 10 Code is 0367493373

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Clinical Technologies: Concepts, Methodologies, Tools and Applications

Clinical Technologies: Concepts, Methodologies, Tools and Applications PDF
By:Management Association, Information Resources
Published on 2011-05-31 by IGI Global

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|This multi-volume book delves into the many applications of information technology ranging from digitizing patient records to high-performance computing, to medical imaging and diagnostic technologies, and much more|--

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Book ID of Clinical Technologies: Concepts, Methodologies, Tools and Applications's Books is 3DQZzcOqN0sC, Book which was written byManagement Association, Information Resourceshave ETAG "4oJXdmkzmBE"

Book which was published by IGI Global since 2011-05-31 have ISBNs, ISBN 13 Code is 9781609605629 and ISBN 10 Code is 1609605624

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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 PDF
By:Juri Yanase,Evangelos Triantaphyllou
Published on by Infinite Study

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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.

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Proceedings, 1994 IEEE Seventh Symposium on Computer-Based Medical Systems

Proceedings, 1994 IEEE Seventh Symposium on Computer-Based Medical Systems PDF
By:
Published on 1994 by IEEE Computer Society

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This Book was ranked at 25 by Google Books for keyword computer based medical systems.

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Book which was published by IEEE Computer Society since 1994 have ISBNs, ISBN 13 Code is 9780818662577 and ISBN 10 Code is 0818662573

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Book which have "342 Pages" is Printed at BOOK under CategoryArtificial intelligence

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Vaccines for Pandemic Influenza

Vaccines for Pandemic Influenza PDF
By:Richard W Compans,Walter A. Orenstein
Published on 2009-09-18 by Springer Science & Business Media

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Recent years have seen unprecedented outbreaks of avian influenza A viruses. In particular, highly pathogenic H5N1 viruses have not only resulted in widespread outbreaks in domestic poultry, but have been transmitted to humans, resulting in numerous fatalities. The rapid expansion in their geographic distribution and the possibility that these viruses could acquire the ability to spread from person to person raises the risk that such a virus could cause a global pandemic with high morbidity and mortality. An effective influenza vaccine represents the best approach to prevent and control such an emerging pandemic. However, current influenza vaccines are directed at existing seasonal influenza viruses, which have little or no antigenic relationship to the highly pathogenic H5N1 strains. Concerns about pandemic preparedness have greatly stimulated research activities to develop eff- tive vaccines for pandemic influenza viruses, and to overcome the limitations inh- ent in current approaches to vaccine production and distribution. These limitations include the use of embryonated chicken eggs as the substrate for vaccine prod- tion, which is time-consuming and could involve potential biohazards in growth of new virus strains. Other limitations include the requirement that the current inac- vated influenza vaccines be administered using needles and syringes, requiring trained personnel, which could be a bottleneck when attempting to vaccinate large populations in mass campaigns. In addition, the current inactivated vaccines that are delivered by injection elicit limited protective immunity in the upper respiratory tract where the infection process is initiated.

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Book ID of Vaccines for Pandemic Influenza's Books is uOE-3atWZssC, Book which was written byRichard W Compans,Walter A. Orensteinhave ETAG "DBcs7oYDCzM"

Book which was published by Springer Science & Business Media since 2009-09-18 have ISBNs, ISBN 13 Code is 9783540921653 and ISBN 10 Code is 3540921656

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CDC Yellow Book 2018: Health Information for International Travel

CDC Yellow Book 2018: Health Information for International Travel PDF
By:Centers for Disease Control and Prevention CDC
Published on 2017-04-17 by Oxford University Press

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THE ESSENTIAL WORK IN TRAVEL MEDICINE -- NOW COMPLETELY UPDATED FOR 2018 As unprecedented numbers of travelers cross international borders each day, the need for up-to-date, practical information about the health challenges posed by travel has never been greater. For both international travelers and the health professionals who care for them, the CDC Yellow Book 2018: Health Information for International Travel is the definitive guide to staying safe and healthy anywhere in the world. The fully revised and updated 2018 edition codifies the U.S. government's most current health guidelines and information for international travelers, including pretravel vaccine recommendations, destination-specific health advice, and easy-to-reference maps, tables, and charts. The 2018 Yellow Book also addresses the needs of specific types of travelers, with dedicated sections on: · Precautions for pregnant travelers, immunocompromised travelers, and travelers with disabilities · Special considerations for newly arrived adoptees, immigrants, and refugees · Practical tips for last-minute or resource-limited travelers · Advice for air crews, humanitarian workers, missionaries, and others who provide care and support overseas Authored by a team of the world's most esteemed travel medicine experts, the Yellow Book is an essential resource for travelers -- and the clinicians overseeing their care -- at home and abroad.

This Book was ranked at 5 by Google Books for keyword epidemiology triangle influenza.

Book ID of CDC Yellow Book 2018: Health Information for International Travel's Books is UkupDgAAQBAJ, Book which was written byCenters for Disease Control and Prevention CDChave ETAG "F1H1Uaa52j8"

Book which was published by Oxford University Press since 2017-04-17 have ISBNs, ISBN 13 Code is 9780190628635 and ISBN 10 Code is 0190628634

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