Intelligent Systems Reference Library
cover

Deep Learners and Deep Learner Descriptors for Medical Applications

Editors: Brahnam, Sheryl, Nanni, Loris, Jain, Lakhmi C. (Eds.)

  • Presents recent research on all aspects of machine learning and data mining for health care
  • Focuses on general algorithms that can handle multiple sources of complex data in medical research databases
  • Includes various successful machine learning algorithms for health care as well as applications and descriptions of actual systems
see more benefits

Buy this book

eBook $129.00
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: July 27, 2020
  • ISBN 978-3-030-42750-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $169.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 29, 2020
  • ISBN 978-3-030-42748-1
  • Free shipping for individuals worldwide
About this book

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 ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) by fusing different deep learner architectures; and 5) by combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects. 

Buy this book

eBook $129.00
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: July 27, 2020
  • ISBN 978-3-030-42750-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $169.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 29, 2020
  • ISBN 978-3-030-42748-1
  • Free shipping for individuals worldwide
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Deep Learners and Deep Learner Descriptors for Medical Applications
Editors
  • Sheryl Brahnam
  • Loris Nanni
  • Lakhmi C. Jain
Series Title
Intelligent Systems Reference Library
Series Volume
186
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-42750-4
DOI
10.1007/978-3-030-42750-4
Hardcover ISBN
978-3-030-42748-1
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XI, 284
Number of Illustrations
57 b/w illustrations, 51 illustrations in colour
Topics