Deep learning for biomedical applications / edited by Utku Kose, Omer Deperlioglu, and D. Jude Hemanth.
Contributor(s): Kose, Utku [editor.]
| Deperlioglu, Omer [editor.] | Hemanth, D. Jude [editor.].
Material type: 
BookSeries: Artificial intelligence (AI): elementary to advanced practices.Publisher: Boca Raton : CRC Press, 2021Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 0367855615; 9780367855611; 9781000406436; 1000406431; 9781000406429; 1000406423.Subject(s): Diagnostic imaging -- Data processing | Image analysis | Artificial intelligence -- Medical applications | COMPUTERS / Neural Networks | COMPUTERS / Database Management / Data MiningDDC classification: 616.07/54 Online resources: Taylor & Francis | OCLC metadata license agreement 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"-- Provided by publisher.
"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"-- Provided by publisher.
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