A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans

A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans

Abstract The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, complying with regulations and the different...

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Bibliographic Details
Main Authors: Abdullah Al-Saleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma, Seyed Jalaleddin Mousavirad
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Brain tumor detection
Federated learning
Privacy-preserving machine learning
Capsule networks
ResNet-50
HGBOA
Online Access:https://doi.org/10.1038/s41598-025-07807-8
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https://doi.org/10.1038/s41598-025-07807-8

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