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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |