Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework

Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework

Accurate detection and classification of microscopic cells from acute lymphoblastic leukemia remain challenging due to the difficulty of differentiating between cancerous and healthy cells. This paper proposes a novel approach to identify and categorize acute lymphoblastic leukemia that uses explain...

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Bibliographic Details
Main Authors: Khadija Pervez, Syed Irfan Sohail, Faiza Parwez, Muhammad Abdullah Zia
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Acute lymphoblastic leukemia
Leukemia cancer
Federated Learning (FL)
Explainable Artificial Intelligence (XAI)
Transfer learning
Hierarchical Federated Learning (HFL)
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000061
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