Federated Learning for Medical Imaging: Principles, Algorithms, and Applications - Couverture souple

 
9780443236419: Federated Learning for Medical Imaging: Principles, Algorithms, and Applications
Couverture souple
ISBN 10 : 0443236410 ISBN 13 : 9780443236419
Editeur : Academic Press Inc, 2025

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Academic Press Inc
Date d'édition
2025
Langue
anglais
ISBN 10 
0443236410
ISBN 13 
9780443236419
Reliure
Broché
Nombre de pages
230
Éditeur
Li Xiaoxiao, Xu Ziyue, Fu Huazhu
Coordonnées du fabricant
Academic Press
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