Federated Learning for Medical Imaging: Principles, Algorithms, and Applications
Xiaoxiao Li · Ziyue Xu · Huazhu Fu
Mar 2025 · Elsevier
Ebook
260
Pages
family_home
Eligible
info
infoThis book will become available on March 1, 2025. You will not be charged until it is released.
About this ebook
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. - Presents the specific challenges in developing and deploying FL to medical imaging - Explains the tools for developing or using FL - Presents the state-of-the-art algorithms in the field with open source software on Github - Gives insight into potential issues and solutions of building FL infrastructures for real-world application - Informs researchers on the future research challenges of building real-world FL applications
About the author
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.
Reading information
Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.
