Data Fusion Techniques and Applications for Smart Healthcare

ISBN-13: 9780443132339 / Miękka / 2024 / 300 str.

Spis treści

Editors' Preface to Data Fusion Techniques and Applications for Smart Healthcare
1. Retinopathy Screening from OCT Imagery via Deep Learning
2. Multi-sensor data fusion in digital twins for smart healthcare
3. Deep Learning for Multi-source Medical Information Processing
4. Robust watermarking algorithm based on multimodal medical image fusion
5. Fusion based Robust and Secure Watermarking Method for e-Healthcare Applications
6. Recent Advancements in Deep Learning-based Remote Photoplethysmography Methods
7. Federated Learning in Healthcare Applications
8. Riemannian Deep Feature Fusion with auto-encoders for MEG Depression Classification in Smart Healthcare applications
9. Epileptic Spike Localization using MEG MRI modality Fusion for Intelligent Smart Healthcare
10. Early classification of time series data: Overview, Challenges, and Opportunities
11. Deep Learning based multimodal medical image fusion
12. Data fusion in internet of medical things: Towards trust management, security and privacy
13. Feature fusion for medical data
14. Review on Hybrid Feature Selection and Classification of Microarray Gene Expression Data
15. MFFWmark: Multi focused fusion based image watermarking for telemedicine applications with BRISK feature authentication
16. Distributed Information Fusion for Secured Healthcare
17. Deep Learning for Emotion Recognition using Physiological Signals