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books
| book details |
Deep Learners and Deep Learner Descriptors for Medical Applications
Edited by Loris Nanni, Edited by Sheryl Brahnam, Edited by Rick Brattin, Edited by Stefano Ghidoni, Edited by Lakhmi C. Jain
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| on special |
normal price: R 3 414.95
Price: R 3 073.95
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| book description |
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.Â
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 16 May 2020
Language |
Format | Hardback
Pages | 284
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0304-2748-1
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 4 229.95
Price | R 3 806.95
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