Federated Learning for Medical Imaging

Language: English

Published by Elsevier Inc Jun 2025, 2025

0443236410 / 9780443236419

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - 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.

Seller Inventory # 9780443236419

Title
Federated Learning for Medical Imaging
Author
Xiaoxia Li
Publisher
Elsevier Inc Jun 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0443236410
ISBN 13
9780443236419
Item weight
408 grams
Dimensions
235x191x12 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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