Deep Learning for Biomedical Applications (Artificial Intelligence (AI): Elementary to Advanced Practices)

By: Utku Kose and Omer Deperlioglu and D. Jude Hemanth

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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.

Book Quality:: Publisher Quality
Book Size:: 348 Pages
ISBN-13:: 9781000406436
Related ISBNs:: 9780367855611, 9780367422509, 9781032033235
Publisher:: CRC Press
Date of Addition:: 07/20/21
Copyrighted By:: Taylor & Francis Group, LLC
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Technology, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Utku Kose
Edited by:: Omer Deperlioglu
Edited by:: D. Jude Hemanth