A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors

A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors

Abstract Breast cancer remains a leading cause of mortality in women, underscoring the need for timely and accurate diagnosis. This paper addresses this challenge by introducing a comprehensive explainable federated learning framework for breast cancer prediction. We evaluate three deep learning app...

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Bibliographic Details
Main Authors: Aymen M. Al-Hejri, Archana Harsing Sable, Riyadh M. Al-Tam, Mugahed A. Al-antari, Sultan S. Alshamrani, Kaled M. Alshmrany, Wedad Alatebi
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Breast cancer
Risk factors
Federated and centralized learning
Ensemble learning
Vision transformer
Explainable artificial intelligence
Online Access:https://doi.org/10.1038/s41598-025-96527-0
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https://doi.org/10.1038/s41598-025-96527-0

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