Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data

Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data

Purpose: To evaluate the performance of a federated learning framework for deep neural network-based retinal microvasculature segmentation and referable diabetic retinopathy (RDR) classification using OCT and OCT angiography (OCTA). Design: Retrospective analysis of clinical OCT and OCTA scans of co...

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Auteurs principaux: Julian Lo, MASc, Timothy T. Yu, BASc, Da Ma, PhD, Pengxiao Zang, MEng, Julia P. Owen, PhD, Qinqin Zhang, PhD, Ruikang K. Wang, PhD, Mirza Faisal Beg, PhD, Aaron Y. Lee, MD, MSc, Yali Jia, PhD, Marinko V. Sarunic, PhD, MBA
Format: article
Langue:EN
Publié: Elsevier 2021
Sujets:
Diabetic retinopathy
Federated learning
Machine learning
Neural network
OCT
Ophthalmology
RE1-994
Accès en ligne:https://doaj.org/article/303b9dd4d0f94ee3a1e8c6c74867b0df
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