Artificial Neural Networks In Biomedicine

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Artificial Neural Networks In Biomedicine
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Author : Paulo J.G. Lisboa
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Neural Networks In Biomedicine written by Paulo J.G. Lisboa 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 2012-12-06 with Computers categories.
Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, convincingly, the distinct benefits of neural networks, although many ofthese have only undergone a limited clinical evaluation. Healthcare providers and developers alike have discovered that medicine and healthcare are fertile areas for neural networks: the problems here require expertise and often involve non-trivial pattern recognition tasks - there are genuine difficulties with conventional methods, and data can be plentiful. The intense research activities in medical neural networks, and allied areas of artificial intelligence, have led to a substantial body of knowledge and the introduction of some neural systems into clinical practice. An aim of this book is to provide a coherent framework for some of the most experienced users and developers of medical neural networks in the world to share their knowledge and expertise with readers.
Artificial Neural Networks In Biomedicine
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Author : Paulo J.G. Lisboa
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-02-02
Artificial Neural Networks In Biomedicine written by Paulo J.G. Lisboa 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 2000-02-02 with Computers categories.
This volume provides a state-of-the-art survey of artificial neural network applications in biomedical diagnosis, laboratory data analysis and related practical areas. It looks at biomedical applications which involve customising neural network technology to resolve specific difficulties with data processing, and deals with applications relating to particular aspects of clinical practice and laboratory or medically-related analysis. Each chapter is self-contained with regard to the technology used, covering important technical points and implementation issues like the design of user interfaces and hardware/software platforms. Artificial Neural Networks in Biomedicine will be of interest to computer scientists and neural network practitioners who want to extend their knowledge of issues relevant to biomedical applications, developers of clinical computer systems, and medical researchers looking for new methods and computational tools.
Artificial Neural Networks In Biomedicine
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Author : Paulo J G Lisboa
language : en
Publisher:
Release Date : 2000-02-01
Artificial Neural Networks In Biomedicine written by Paulo J G Lisboa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-02-01 with categories.
Deep Learning For Biomedical Applications
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Author : Utku Kose
language : en
Publisher: CRC Press
Release Date : 2021-07-19
Deep Learning For Biomedical Applications written by Utku Kose and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Technology & Engineering categories.
This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.
Proceedings Of The 4th International Conference On Computer Engineering And Networks
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Author : W. Eric Wong
language : en
Publisher: Springer
Release Date : 2015-01-06
Proceedings Of The 4th International Conference On Computer Engineering And Networks written by W. Eric Wong and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-06 with Technology & Engineering categories.
This book aims to examine innovation in the fields of computer engineering and networking. The book covers important emerging topics in computer engineering and networking, and it will help researchers and engineers improve their knowledge of state-of-art in related areas. The book presents papers from the 4th International Conference on Computer Engineering and Networks (CENet2014) held July 19-20, 2014 in Shanghai, China.
Artificial Neural Networks Icann 2007
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Author : Joaquim Marques de Sá
language : en
Publisher: Springer
Release Date : 2007-09-14
Artificial Neural Networks Icann 2007 written by Joaquim Marques de Sá and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-14 with Computers categories.
This book is the second of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007. It features contributions related to computational neuroscience, neurocognitive studies, applications in biomedicine and bioinformatics, pattern recognition, self-organization, text mining and internet applications, signal and times series processing, vision and image processing, robotics, control, and more.
Methods And Procedures For The Verification And Validation Of Artificial Neural Networks
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Author : Brian J. Taylor
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-20
Methods And Procedures For The Verification And Validation Of Artificial Neural Networks written by Brian J. Taylor 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 2006-03-20 with Computers categories.
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.
Sensors Signal And Image Processing In Biomedicine And Assisted Living
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Author : Dimitris K. Iakovidis
language : en
Publisher: MDPI
Release Date : 2020-11-04
Sensors Signal And Image Processing In Biomedicine And Assisted Living written by Dimitris K. Iakovidis and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Computers categories.
This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.
Prediction And Explanation In Biomedicine Using Network Based Approaches
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Author : Alessio Martino
language : en
Publisher: Frontiers Media SA
Release Date : 2022-10-12
Prediction And Explanation In Biomedicine Using Network Based Approaches written by Alessio Martino and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-12 with Medical categories.
Recent Contributions To Bioinformatics And Biomedical Sciences And Engineering
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Author : Sotir Sotirov
language : en
Publisher: Springer Nature
Release Date : 2023-06-01
Recent Contributions To Bioinformatics And Biomedical Sciences And Engineering written by Sotir Sotirov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Technology & Engineering categories.
This book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2022). It offers a comprehensive look into some of the fastest growing fields of science, such as biomedicine, bioinformatics, artificial intelligence, and mathematical modeling. The different chapters of the work include both practical solutions and strictly scientific considerations expanding knowledge about the future bioinformatics and biomedical engineering challenges. We believe that the presented works will have a great impact not only on the development and the application of new methods for modeling, decision making and data mining in healthcare and biomedicine, but also it will provide a source of inspiration for researchers who can implement the proposed methods into their practice and scientific studies.