FLEM-XAI: Federated learning based real time ensemble model with explainable AI framework for an efficient diagnosis of lung diseases

FLEM-XAI: Federated learning based real time ensemble model with explainable AI framework for an efficient diagnosis of lung diseases

The computer-aided diagnosis helps medical professionals detect and classify lung diseases from chest X-rays by leveraging medical image processing and central server-based machine learning models. These technologies provide real-time assistance to analyze the input and help efficiently detect the a...

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Bibliographic Details
Main Authors: Sivan Durga, Esther Daniel, Surleese Seetha, Vijaya Kumar Reshma, Vasily Sachnev
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Computer Science
Subjects:
central server based learning model
federated learning
ensemble model
explainable AI
SHapley Additive exPlanations
grad-CAM
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2025.1633916/full
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https://www.frontiersin.org/articles/10.3389/fcomp.2025.1633916/full

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