Collaborative Computational Technologies For Biomedical Research

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Collaborative Computational Technologies for Biomedical Research

Collaborative Computational Technologies for Biomedical Research Pdf/ePub eBook Author: Sean Ekins,Maggie A. Z. Hupcey,Antony J. Williams
Editor: John Wiley & Sons
ISBN: 1118026020
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Collaborative Computational Technologies for Biomedical Research by Sean Ekins,Maggie A. Z. Hupcey,Antony J. Williams Summary

Methods, Processes, and Tools for Collaboration "The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types."—Bryn Williams-Jones, Associate Research Fellow, Pfizer The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations. Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including: Serving as a user manual for collaborations Tackling real problems from both human collaborative and data and informatics perspectives Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.

Collaborative Innovation in Drug Discovery

Collaborative Innovation in Drug Discovery Pdf/ePub eBook Author: Rathnam Chaguturu
Editor: John Wiley & Sons
ISBN: 111877812X
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Collaborative Innovation in Drug Discovery by Rathnam Chaguturu Summary

Can academia save the pharmaceutical industry? The pharmaceutical industry is at a crossroads. The urgent needfor novel therapies cannot stem the skyrocketing costs andplummeting productivity plaguing R&D, and many key products arefacing patent expiration. Dr. Rathnam Chaguturu presents a case forcollaboration between the pharmaceutical industry and academia thatcould reverse the industry's decline. CollaborativeInnovation in Drug Discovery: Strategies for Public and PrivatePartnerships provides insight into the potential synergyof basing R&D in academia while leaving drug companies to turnhits into marketable products. As Founder and CEO ofiDDPartners, focused on pharmaceutical innovation, Foundingpresident of the International Chemical Biology Society, and SeniorDirector-Discovery Sciences, SRI International, Dr. Chaguturu hasassembled a panel of experts from around the world to weigh in onissues that affect the two driving forces in medicaladvancement. Gain global perspectives on the benefits and potential issuessurrounding collaborative innovation Discover how industries can come together to prevent another"Pharma Cliff" Learn how nonprofits are becoming the driving force behindinnovation Read case studies of specific academia-pharma partnerships forreal-life examples of successful collaboration Explore government initiatives that help foster cooperationbetween industry and academia Dr. Chaguturu’s thirty-five years of experience inacademia and industry, managing new lead discovery projects andforging collaborative partnerships with academia, diseasefoundations, nonprofits, and government agencies lend him aninformative perspective into the issues facing pharmaceuticalprogress. In Collaborative Innovation in Drug Discovery:Strategies for Public and Private Partnerships, he and hisexpert team provide insight into the various nuances of thedebate.

Computational Toxicology

Computational Toxicology Pdf/ePub eBook Author: Sean Ekins
Editor: John Wiley & Sons
ISBN: 1119282586
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Computational Toxicology by Sean Ekins Summary

A key resource for toxicologists across a broad spectrum of fields, this book offers a comprehensive analysis of molecular modelling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals. • Provides a perspective of what is currently achievable with computational toxicology and a view to future developments • Helps readers overcome questions of data sources, curation, treatment, and how to model / interpret critical endpoints that support 21st century hazard assessment • Assembles cutting-edge concepts and leading authors into a unique and powerful single-source reference • Includes in-depth looks at QSAR models, physicochemical drug properties, structure-based drug targeting, chemical mixture assessments, and environmental modeling • Features coverage about consumer product safety assessment and chemical defense along with chapters on open source toxicology and big data

Designing Knowledge Organizations

Designing Knowledge Organizations Pdf/ePub eBook Author: Joseph Morabito,Ira Sack,Anilkumar Bhate
Editor: John Wiley & Sons
ISBN: 1119078784
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Designing Knowledge Organizations by Joseph Morabito,Ira Sack,Anilkumar Bhate Summary

A pedagogical approach to the principles and architecture of knowledge management in organizations This textbook is based on a graduate course taught at Stevens Institute of Technology. It focuses on the design and management of today's complex K organizations. A K organization is any company that generates and applies knowledge. The text takes existing ideas from organizational design and knowledge management to enhance and elevate each through harmonization with concepts from other disciplines. The authors—noted experts in the field—concentrate on both micro- and macro design and their interrelationships at individual, group, work, and organizational levels. A key feature of the textbook is an incisive discussion of the cultural, practice, and social aspects of knowledge management. The text explores the processes, tools, and infrastructures by which an organization can continuously improve, maintain, and exploit all elements of its knowledge base that are most relevant to achieve its strategic goals. The book seamlessly intertwines the disciplines of organizational design and knowledge management and offers extensive discussions, illustrative examples, student exercises, and visualizations. The following major topics are addressed: Knowledge management, intellectual capital, and knowledge systems Organizational design, behavior, and architecture Organizational strategy, change, and development Leadership and innovation Organizational culture and learning Social networking, communications, and collaboration Strategic human resources; e.g., hiring K workers and performance reviews Knowledge science, thinking, and creativity Philosophy of knowledge and information Information, knowledge, social, strategy, and contract continuums Information management and intelligent systems; e.g., business intelligence, big data, and cognitive systems Designing Knowledge Organizations takes an interdisciplinary and original approach to assess and synthesize the disciplines of knowledge management and organizational design, drawing upon conceptual underpinnings and practical experiences in these and related areas.

Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering Pdf/ePub eBook Author: Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Editor: Academic Press
ISBN: 0128183195
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Handbook of Data Science Approaches for Biomedical Engineering by Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari Summary

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

M-Health

M-Health Pdf/ePub eBook Author: Robert Istepanian,Swamy Laxminarayan,Constantinos S. Pattichis
Editor: Springer Science & Business Media
ISBN: 9780387265599
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M-Health by Robert Istepanian,Swamy Laxminarayan,Constantinos S. Pattichis Summary

M-health can be defined as the ‘emerging mobile communications and network technologies for healthcare systems.' This book paves the path toward understanding the future of m-health technologies and services and also introducing the impact of mobility on existing e-health and commercial telemedical systems. M-Health: Emerging Mobile Health Systems presents a new and forward-looking source of information that explores the present and future trends in the applications of current and emerging wireless communication and network technologies for different healthcare scenaria. It also provides a discovery path on the synergies between the 2.5G and 3G systems and other relevant computing and information technologies and how they prescribe the way for the next generation of m-health services. The book contains 47 chapters, arranged in five thematic sections: Introduction to Mobile M-health Systems, Smart Mobile Applications for Health Professionals, Signal, Image, and Video Compression for M-health Applications, Emergency Health Care Systems and Services, Echography Systems and Services, and Remote and Home Monitoring. This book is intended for all those working in the field of information technologies in biomedicine, as well as for people working in future applications of wireless communications and wireless telemedical systems. It provides different levels of material to researchers, computing engineers, and medical practitioners interested in emerging e-health systems. This book will be a useful reference for all the readers in this important and growing field of research, and will contribute to the roadmap of future m-health systems and improve the development of effective healthcare delivery systems.

Advances in Information Technology Research and Application: 2012 Edition

Advances in Information Technology Research and Application: 2012 Edition Pdf/ePub eBook Author: N.A
Editor: ScholarlyEditions
ISBN: 1464990514
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Advances in Information Technology Research and Application: 2012 Edition by N.A Summary

Advances in Information Technology Research and Application / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Information Technology. The editors have built Advances in Information Technology Research and Application / 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Information Technology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Information Technology Research and Application / 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Biomedical Informatics for Cancer Research

Biomedical Informatics for Cancer Research Pdf/ePub eBook Author: Michael F. Ochs,John T. Casagrande,Ramana V. Davuluri
Editor: Springer Science & Business Media
ISBN: 1441957146
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Biomedical Informatics for Cancer Research by Michael F. Ochs,John T. Casagrande,Ramana V. Davuluri Summary

view, showing that multiple molecular pathways must be affected for cancer to develop, but with different specific proteins in each pathway mutated or differentially expressed in a given tumor (The Cancer Genome Atlas Research Network 2008; Parsons et al. 2008). Different studies demonstrated that while widespread mutations exist in cancer, not all mutations drive cancer development (Lin et al. 2007). This suggests a need to target only a deleterious subset of aberrant proteins, since any tre- ment must aim to improve health to justify its potential side effects. Treatment for cancer must become highly individualized, focusing on the specific aberrant driver proteins in an individual. This drives a need for informatics in cancer far beyond the need in other diseases. For instance, routine treatment with statins has become widespread for minimizing heart disease, with most patients responding to standard doses (Wilt et al. 2004). In contrast, standard treatment for cancer must become tailored to the molecular phenotype of an individual tumor, with each patient receiving a different combination of therapeutics aimed at the specific aberrant proteins driving the cancer. Tracking the aberrations that drive cancers, identifying biomarkers unique to each individual for molecular-level di- nosis and treatment response, monitoring adverse events and complex dosing schedules, and providing annotated molecular data for ongoing research to improve treatments comprise a major biomedical informatics need.

Translational Systems Biology

Translational Systems Biology Pdf/ePub eBook Author: Yoram Vodovotz,Gary An
Editor: Elsevier
ISBN: 0123978904
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Translational Systems Biology by Yoram Vodovotz,Gary An Summary

Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money’s worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams

World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany

World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany Pdf/ePub eBook Author: Olaf Dössel,Wolfgang C. Schlegel
Editor: Springer Science & Business Media
ISBN: 9783642038938
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World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany by Olaf Dössel,Wolfgang C. Schlegel Summary

Present Your Research to the World! The World Congress 2009 on Medical Physics and Biomedical Engineering – the triennial scientific meeting of the IUPESM - is the world’s leading forum for presenting the results of current scientific work in health-related physics and technologies to an international audience. With more than 2,800 presentations it will be the biggest conference in the fields of Medical Physics and Biomedical Engineering in 2009! Medical physics, biomedical engineering and bioengineering have been driving forces of innovation and progress in medicine and healthcare over the past two decades. As new key technologies arise with significant potential to open new options in diagnostics and therapeutics, it is a multidisciplinary task to evaluate their benefit for medicine and healthcare with respect to the quality of performance and therapeutic output. Covering key aspects such as information and communication technologies, micro- and nanosystems, optics and biotechnology, the congress will serve as an inter- and multidisciplinary platform that brings together people from basic research, R&D, industry and medical application to discuss these issues. As a major event for science, medicine and technology the congress provides a comprehensive overview and in–depth, first-hand information on new developments, advanced technologies and current and future applications. With this Final Program we would like to give you an overview of the dimension of the congress and invite you to join us in Munich! Olaf Dössel Congress President Wolfgang C.

Medical Medium : les aliments qui vont transformer votre vie

Medical Medium : les aliments qui vont transformer votre vie Pdf/ePub eBook Author: Anthony William
Editor: Guy Trédaniel
ISBN: 2813217247
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Medical Medium : les aliments qui vont transformer votre vie by Anthony William Summary

LE DEUXIÈME LIVRE DE LA SÉRIE PHÉNOMÈNE « MEDICAL MEDIUM » Rempli d’informations inédites sur les menaces responsables de l’apparition des maladies ainsi que sur le pouvoir préventif et guérisseur de l’alimentation, ce livre vous donne la possibilité de devenir votre propre expert en santé afin de vous protéger, vous et vos proches. Dans son premier livre, l’auteur best-seller du New York Times révélait comment traiter des dizaines de maladies grâce à des régimes de guérison ciblés, dans lesquels la nutrition joue un rôle majeur. Ce nouveau livre va encore plus loin en expliquant les pouvoirs de guérison de plus de 50 fruits, légumes, herbes, épices et aliments naturels (aloe vera, miel, etc.), qui peuvent avoir un effet extraordinaire sur la santé. Anthony William détaille les propriétés de ces superaliments, les symptômes et les maladies qu’ils peuvent aider à soulager ou à guérir, ainsi que les avantages émotionnels et spirituels qu’ils apportent.

Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare Pdf/ePub eBook Author: Kun Chang Lee,Sanjiban Sekhar Roy,Pijush Samui,Vijay Kumar
Editor: Academic Press
ISBN: 0128193158
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Data Analytics in Biomedical Engineering and Healthcare by Kun Chang Lee,Sanjiban Sekhar Roy,Pijush Samui,Vijay Kumar Summary

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks

7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7)

7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) Pdf/ePub eBook Author: Vo Van Toi,Trung Quoc Le,Hoan Thanh Ngo,Thi-Hiep Nguyen
Editor: Springer
ISBN: 9811358591
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7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) by Vo Van Toi,Trung Quoc Le,Hoan Thanh Ngo,Thi-Hiep Nguyen Summary

This volume presents the proceedings of the 7th International Conference on the Development of Biomedical Engineering in Vietnam which was held from June 27-29, 2018 in Ho Chi Minh City. The volume reflects the progress of Biomedical Engineering and discusses problems and solutions. It aims to identify new challenges, and shaping future directions for research in biomedical engineering fields including medical instrumentation, bioinformatics, biomechanics, medical imaging, drug delivery therapy, regenerative medicine and entrepreneurship in medical devices.

Computational Retinal Image Analysis

Computational Retinal Image Analysis Pdf/ePub eBook Author: Emanuele Trucco,Tom MacGillivray,Yanwu Xu
Editor: Academic Press
ISBN: 0081028172
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Computational Retinal Image Analysis by Emanuele Trucco,Tom MacGillivray,Yanwu Xu Summary

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more. Provides a unique, well-structured and integrated overview of retinal image analysis Gives insights into future areas, such as large-scale screening programs, precision medicine, and computer-assisted eye care Includes plans and aspirations of companies and professional bodies

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis Pdf/ePub eBook Author: S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Editor: Academic Press
ISBN: 0128104090
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Deep Learning for Medical Image Analysis by S. Kevin Zhou,Hayit Greenspan,Dinggang Shen Summary

Deep learning is providing exciting solutions for medical image analysis problems and is seen as 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 have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes 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 Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache

Computational Intelligence for Decision Support in Cyber-Physical Systems

Computational Intelligence for Decision Support in Cyber-Physical Systems Pdf/ePub eBook Author: Zeashan H Khan,A. B. M. Shawkat Ali,Zahid Riaz
Editor: Springer
ISBN: 981458536X
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Computational Intelligence for Decision Support in Cyber-Physical Systems by Zeashan H Khan,A. B. M. Shawkat Ali,Zahid Riaz Summary

This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level. This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems. Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researchers working on the applications of computational intelligence methods in CPS.

Innovation in Medicine and Healthcare 2017

Innovation in Medicine and Healthcare 2017 Pdf/ePub eBook Author: Yen-Wei Chen,Satoshi Tanaka,Robert J. Howlett,Lakhmi C. Jain
Editor: Springer
ISBN: 3319593978
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Innovation in Medicine and Healthcare 2017 by Yen-Wei Chen,Satoshi Tanaka,Robert J. Howlett,Lakhmi C. Jain Summary

This volume focuses on smart medical and healthcare systems (modern intelligent systems for medicine and healthcare) and includes 31 papers presenting recent trends and innovations in medicine and healthcare, including biomedical engineering research and technologies; machine learning and labeling for biomedical visual data analysis and understanding; advanced ICT for medicine and healthcare; and healthcare support systems. Innovation in medicine and healthcare is an interdisciplinary research area, which combines advanced technologies and problem-solving skills with medical and biological science, and smart medical and healthcare systems can provide efficient and accurate solution to problems faced by healthcare and medical practitioners today by using advanced information communication techniques, computational intelligence, mathematics, robotics and other advanced technologies. Discussing the techniques developed in this area, which will have a significant effect on future medicine and healthcare, the book is a valuable resource for researchers, students, engineers, and professionals working in the fields of medical systems, medical technology, and intelligent systems.

Computational Science – ICCS 2008

Computational Science – ICCS 2008 Pdf/ePub eBook Author: Marian Bubak,Geert Dick van Albada,Jack Dongarra,Peter M.A. Sloot
Editor: Springer
ISBN: 354069384X
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Computational Science – ICCS 2008 by Marian Bubak,Geert Dick van Albada,Jack Dongarra,Peter M.A. Sloot Summary

The three-volume set LNCS 5101-5103 constitutes the refereed proceedings of the 8th International Conference on Computational Science, ICCS 2008, held in Krakow, Poland in June 2008. The 167 revised papers of the main conference track presented together with the abstracts of 7 keynote talks and the 100 revised papers from 14 workshops were carefully reviewed and selected for inclusion in the three volumes. The main conference track was divided into approximately 20 parallel sessions addressing topics such as e-science applications and systems, scheduling and load balancing, software services and tools, new hardware and its applications, computer networks, simulation of complex systems, image processing and visualization, optimization techniques, numerical linear algebra, and numerical algorithms. The second volume contains workshop papers related to various computational research areas, e.g.: computer graphics and geometric modeling, simulation of multiphysics multiscale systems, computational chemistry and its applications, computational finance and business intelligence, physical, biological and social networks, geocomputation, and teaching computational science. The third volume is mostly related to computer science topics such as bioinformatics' challenges to computer science, tools for program development and analysis in computational science, software engineering for large-scale computing, collaborative and cooperative environments, applications of workflows in computational science, as well as intelligent agents and evolvable systems.

Medical Imaging

Medical Imaging Pdf/ePub eBook Author: K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Editor: CRC Press
ISBN: 0429642490
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Medical Imaging by K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey Summary

The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.