Produktbild: Deep Learners and Deep Learner Descriptors for Medical Applications

Deep Learners and Deep Learner Descriptors for Medical Applications

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106,99 €

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Intelligent Systems Reference Library 186

ISBN: 303042748X
ISBN 13: 9783030427481
Herausgeber: Loris Nanni/Sheryl Brahnam/Rick Brattin et al
Verlag: Springer Verlag GmbH
Umfang: xi, 284 S., 59 s/w Illustr., 51 farbige Illustr., 284 p. 110 illus., 51 illus. in color.
Erscheinungsdatum: 16.05.2020
Auflage: 1/2020
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 8605371 Kategorie:

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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