Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data
Abstract
PurposeTo 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).DesignRetrospective analysis of clinical OCT and OCTA scans of control participants and patients with diabetes.ParticipantsThe 153 OCTA en face images used for microvasculature segmentation were acquired from 4 OCT...
Paper Details
Title
Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data
Published Date
Dec 1, 2021
Journal
Volume
1
Issue
4
Pages
100069 - 100069
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