Verkauf durch Sack Fachmedien

Nanni / Brahnam / Brattin

Deep Learners and Deep Learner Descriptors for Medical Applications

Medium: Buch
ISBN: 978-3-030-42748-1
Verlag: Springer
Erscheinungstermin: 16.05.2020
Lieferfrist: bis zu 10 Tage

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. 


Produkteigenschaften


  • Artikelnummer: 9783030427481
  • Medium: Buch
  • ISBN: 978-3-030-42748-1
  • Verlag: Springer
  • Erscheinungstermin: 16.05.2020
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2020
  • Serie: Intelligent Systems Reference Library
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 612 g
  • Seiten: 284
  • Format (B x H x T): 160 x 241 x 22 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

An Introduction to Deep Learners and Deep Leaner Descriptors for Medical Applications.- Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity.