Advances in Application of Federated Machine Learning for Oncology and Cancer Diagnosis

Advances in Application of Federated Machine Learning for Oncology and Cancer Diagnosis

Machine learning has brought about a revolutionary transformation in healthcare. It has traditionally been employed to create predictive models through training on locally available data. However, privacy concerns can sometimes impede the collection and integration of data from diverse sources. Conv...

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Bibliographic Details
Main Authors: Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Fatemeh Mosaiyebzadeh, Yixin Xie, Liyuan Liu, Daniel Macêdo Batista
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Information
Subjects:
federated learning
health systems
cancer
clinical oncology
image analysis
Online Access:https://www.mdpi.com/2078-2489/16/6/487
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