Federated Learning for Computer-Aided Diagnosis of Glaucoma Using Retinal Fundus Images

Federated Learning for Computer-Aided Diagnosis of Glaucoma Using Retinal Fundus Images

Deep learning approaches require a large amount of data to be transferred to centralized entities. However, this is often not a feasible option in healthcare, as it raises privacy concerns over sharing sensitive information. Federated Learning (FL) aims to address this issue by allowing machine lear...

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Bibliographic Details
Main Authors: Telmo Baptista, Carlos Soares, Tiago Oliveira, Filipe Soares
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
federated learning
image processing
fundus images
retina quality
glaucoma
Online Access:https://www.mdpi.com/2076-3417/13/21/11620

Internet

https://www.mdpi.com/2076-3417/13/21/11620

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