Deep Learning for Biomedical Applications

Utku Kose (Curatore)

Omer Deperlioglu (Curatore)

Taylor & Francis Ltd, 2021

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.

• Curatore: Utku Kose, Omer Deperlioglu
• Editore: Taylor & Francis Ltd
• Collana: Artificial Intelligence AI: Elementary to Advanced Practices
• Anno: 2021
• Rilegatura: Hardback
• Pagine: 348 p.
• Dimensioni: 234 x 156 mm
• Peso: 635 gr.
• EAN: 9780367422509

Testo in English