Federated Learning for Medical Imaging

Principles, Algorithms, and Applications

Xiaoxiao Li, Ziyue Xu, Huazhu Fu (Herausgeber)

Buch | Softcover

230 Seiten

2025
Academic Press Inc (Verlag)
978-0-443-23641-9 (ISBN)

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Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the algorithms for FL. It shows how FL allows multiple medical institutes to collaboratively train and use a precise machine learning (ML) model without sharing private medical data via practical implantation guidance. The book includes real-world case studies and applications of FL, demonstrating how this technology can be used to solve complex problems in medical imaging. The book also provides an understanding of the challenges and limitations of FL for medical imaging, including issues related to data and device heterogeneity, privacy concerns, synchronization and communication, etc.
This book is a complete resource for computer scientists and engineers, as well as clinicians and medical care policy makers, wanting to learn about the application of federated learning to medical imaging.

Xiaoxiao Li is Assistant Professor, Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada. Ziyue Xu, Senior Scientist, NVIDIA, Santa Clara, California, United States of America. Huazhu Fu, Principal Scientist, Agency for Science, Technology and Research (A*STAR), Singapore.

Section I Fundamentals of FL
1. Background
2. FL Foundations

Section II Advanced Concepts and Methods for Heterogenous Settings
3. FL on Heterogeneous Data
4. FL on long-tail (label)
5. Personalized FL
6. Cross-domain FL

Section III Trustworthy FL
7. FL and Fairness
8. Differential Privacy
9. Security (Attack and Defense) in FL
10. FL + Uncertainty
11. Noisy learning in FL

Section IV Real-world Implementation and Application
12. Image Segmentation
13. Image Reconstruction and Registration
14. Frameworks and Platforms

Section V Afterword
15. Summary and Outlook

Erscheinungsdatum	23.04.2025
Reihe/Serie	The MICCAI Society book Series
Verlagsort	San Diego
Sprache	englisch
Maße	191 x 235 mm
Gewicht	490 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik ► Medizintechnik
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	0-443-23641-0 / 0443236410
ISBN-13	978-0-443-23641-9 / 9780443236419
Zustand	Neuware