eBook: Deep Learning for Biomedical Applications (DRM EPUB)
 
電子書格式: DRM EPUB
作者: Utku Kose, Omer Deperlioglu, D. Jude Hemanth 
系列: Artificial Intelligence (AI): Elementary to Advanc
分類: Regulation of medicines & medical devices ,
Biomedical engineering ,
Engineering: general ,
Electrical engineering ,
Electronics engineering ,
Computer networking & communications ,
Artificial intelligence ,
Neural networks & fuzzy systems  
書城編號: 20652549


售價: $573.00

購買後立即進貨, 約需 1-4 天

 
 
製造商: CRC Press
出版日期: 2021/07/20
頁數: 348
ISBN: 9781000406436

商品簡介
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, anda 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,a image processing perspectives, and evena 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.
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Utku Kose 作者作品表

Computational Modeling Applications for Climate Crisis (Paperback)

Explainable Artificial Intelligence (Xai) in Healthcare (Hardcover)

Interpretable Cognitive Internet of Things for Healthcare (2023) (Hardcover)

Computational Intelligence for Covid-19 and Future Pandemics: Emerging Applications and Strategies (2022) (Paperback)

D. Jude Hemanth 作者作品表

Leveraging Metaverse and Analytics of Things (Aot) in Medical Systems (Paperback)

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4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering: Icaiame 2022 (2023) (Hardcover)

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