Deep Learners and Deep Learner Descriptors for Medical Applications
This book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major w
- PDF / 8,224,525 Bytes
- 286 Pages / 453.543 x 683.15 pts Page_size
- 20 Downloads / 197 Views
Loris Nanni · Sheryl Brahnam · Rick Brattin · Stefano Ghidoni · Lakhmi C. Jain Editors
Deep Learners and Deep Learner Descriptors for Medical Applications
Intelligent Systems Reference Library Volume 186
Series Editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia, KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia. ** Indexing: The books of this series are submitted to ISI Web of Science, SCOPUS, DBLP and Springerlink.
More information about this series at http://www.springer.com/series/8578
Loris Nanni Sheryl Brahnam Rick Brattin Stefano Ghidoni Lakhmi C. Jain •
•
• •
Editors
Deep Learners and Deep Learner Descriptors for Medical Applications
123
Editors Loris Nanni Department of Information Engineering University of Padova Padova, Italy Rick Brattin Department of Information Technology and Cybersecurity Missouri State University Springfield, MO, USA
Sheryl Brahnam Computer Information Systems Missouri State University Springfield, MO, USA Stefano Ghidoni Department of Information Engineering Intelligent Autonomous Systems Laboratory Padova, Padova, Italy
Lakhmi C. Jain University of Technology Sydney, Australia Liverpool Hope University Liverpool, UK KES International Shoreham-by-Sea, UK
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-030-42748-1 ISBN 978-3-030-42750-4 (eBook) https://
Data Loading...
