Deep Learning for Biomedical Applications

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.

Utku Kose, Omer Deperlioglu, D. Jude Hemanth

1. Disease Diagnosis with Deep Learning. 2. Medical Image Analysis with Deep Learning. 3. Medical Image Registration with Deep Learning. 4. Medical Data Synthesis with Deep Learning. 5. Genomics with Deep Learning. 6. Patient Care and Treatment with Deep Learning. 7. Hybrid Intelligent Deep Learning Oriented Systems for Biomedical. 8. Deep Learning Oriented Robotics for Biomedical. 9. Deep Learning Based Autonomous Biomedical Solutions. 10. Specific Use of Deep Learning Techniques (CNN, LSTM...etc.) for Biomedical. 11. Compare of Deep Learning with Traditional Solutions for Biomedical.