Advanced Machine Learning Approaches in Cancer Prognosis

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 €

inkl. 7 % MwSt. zzgl. Versandkosten

Challenges and Applications, Intelligent Systems Reference Library 204

ISBN: 303071974X
ISBN 13: 9783030719746
Herausgeber: Janmenjoy Nayak/Margarita N Favorskaya/Seema Jain et al
Verlag: Springer Verlag GmbH
Umfang: xx, 454 S., 68 s/w Illustr., 168 farbige Illustr., 454 p. 236 illus., 168 illus. in color.
Erscheinungsdatum: 30.05.2021
Auflage: 1/2021
Produktform: Gebunden/Hardback
Einband: GEB

This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.

Artikelnummer: 906309 Kategorie:

Das könnte Ihnen auch gefallen …