Deep learning for biomedical applications /

"This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Kose, Utku, 1985- (Editor), Deperlioglu, Omer, 1967- (Editor), Hemanth, D. Jude (Editor)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, Taylor & Francis Group, 2021.
Edition:First edition.
Series:Artificial intelligence (AI): elementary to advanced practices
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics"--
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9780367855611
0367855615
9781000406436
1000406431
9781000406429
1000406423