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Deep Learning for Biomedical Applications

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Deep Learning for Biomedical Applications Synopsis

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.

About This Edition

ISBN: 9781032033235
Publication date:
Author: Utku Kose, Omer Deperlioglu, D Jude Hemanth
Publisher: CRC Press
Format: Paperback
Pagination: 348 pages
Series: Artificial Intelligence (AI). Elementary to Advanced Practices
Genres: Engineering: general
Regulation of medicines and medical devices
Automatic control engineering
Neural networks and fuzzy systems
Computer architecture and logic design
Biomedical engineering
Electrical engineering
Computer networking and communications