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

PURPOSE: 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. METHODS: Color fundus photographs were labeled us...

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Detalles Bibliográficos
Autores principales: Laurik-Feuerstein, Kornélia Lenke, Sapahia, Rishav, Cabrera DeBuc, Delia, Somfai, Gábor Márk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321443/
https://www.ncbi.nlm.nih.gov/pubmed/35881576
http://dx.doi.org/10.1371/journal.pone.0271156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321443/
https://www.ncbi.nlm.nih.gov/pubmed/35881576
http://dx.doi.org/10.1371/journal.pone.0271156

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