The assessment of fundus image quality labeling reliability among graders with different backgrounds.

<h4>Purpose</h4>For the training of machine learning (ML) algorithms, correctly labeled ground truth data are inevitable. In this pilot study, we assessed the performance of graders with different backgrounds in the labeling of retinal fundus image quality.<h4>Methods</h4>Col...

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Bibliographic Details
Main Authors: Kornélia Lenke Laurik-Feuerstein, Rishav Sapahia, Delia Cabrera DeBuc, Gábor Márk Somfai
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0271156