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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Main Authors:	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
Language:	EN
Published:	Elsevier 2021
Subjects:	Diabetic retinopathy Federated learning Machine learning Neural network OCT Ophthalmology RE1-994
Online Access:	https://doaj.org/article/303b9dd4d0f94ee3a1e8c6c74867b0df
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Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data

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