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Deep Learners and Deep Learner Descriptors for Medical Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Deep Learners and Deep Learner Descriptors for Medical Applications/ edited by Loris Nanni, Sheryl Brahnam, Rick Brattin, Stefano Ghidoni, Lakhmi C. Jain.
other author:	Nanni, Loris.
Description:	XI, 284 p. 110 illus., 51 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-42750-4
ISBN:	9783030427504

Deep Learners and Deep Learner Descriptors for Medical Applications
Deep Learners and Deep Learner Descriptors for Medical Applications[electronic resource] /edited by Loris Nanni, Sheryl Brahnam, Rick Brattin, Stefano Ghidoni, Lakhmi C. Jain. - 1st ed. 2020. - XI, 284 p. 110 illus., 51 illus. in color.online resource. - Intelligent Systems Reference Library,1861868-4394 ;. - Intelligent Systems Reference Library,67.

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. .

ISBN: 9783030427504

Standard No.: 10.1007/978-3-030-42750-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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