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Deep Learners and Deep Learner Descriptors for Medical Applications (Hardcover, 1st ed. 2020) Loot Price: R2,904
Discovery Miles 29 040
Deep Learners and Deep Learner Descriptors for Medical Applications (Hardcover, 1st ed. 2020): Loris Nanni, Sheryl Brahnam,...

Deep Learners and Deep Learner Descriptors for Medical Applications (Hardcover, 1st ed. 2020)

Loris Nanni, Sheryl Brahnam, Rick Brattin, Stefano Ghidoni, Lakhmi C. Jain

Series: Intelligent Systems Reference Library, 186

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Loot Price R2,904 Discovery Miles 29 040 | Repayment Terms: R272 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Intelligent Systems Reference Library, 186
Release date: May 2020
First published: 2020
Editors: Loris Nanni • Sheryl Brahnam • Rick Brattin • Stefano Ghidoni • Lakhmi C. Jain
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 284
Edition: 1st ed. 2020
ISBN-13: 978-3-03-042748-1
Categories: Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-042748-X
Barcode: 9783030427481

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