Page 11 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

Key features

1. Covers the evolution of deep learning in biomedical engineer-
ing and healthcare from fundamental theories to present
forms
2. Presents diversified medical applications of deep learning with
use cases
3. Includes contributors from different parts of the world
4. Explores deep learning and machine learning techniques
along with biomedical engineering applications
5. Presents from multiple perspectives such as academics,
industry, and research fields
6. Emphasizes on the advancements and cutting-edge technolo-
gies throughout
7. Focuses on different tools, platforms, and techniques