Federated Learning for Medical Imaging: Principles, Algorithms, and Applications

— —

Xiaoxiao Li (Assistant Professor, Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada) Ziyue Xu (NVIDIA, Reston, VA, USA)

Federated Learning for Medical Imaging

Principles, Algorithms, and Applications

Xiaoxiao Li (Assistant Professor, Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada), Ziyue Xu (NVIDIA, Reston, VA, USA), Huazhu Fu (Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore)

$245.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Academic Press Inc
16 June 2025

Biomedical engineering; Biotechnology; Artificial intelligence

Series: The MICCAI Society book Series

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.

Edited by: Xiaoxiao Li (Assistant Professor Electrical and Computer Engineering Department University of British Columbia Vancouver BC Canada), Ziyue Xu (NVIDIA, Reston, VA, USA), Huazhu Fu (Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
Weight: 450g
ISBN: 9780443236419
ISBN 10: 0443236410
Series: The MICCAI Society book Series
Pages: 230
Publication Date: 16 June 2025
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

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.