The assessment of fundus image quality labeling reliability among graders with different backgrounds
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DOI: 10.1371/journal.pone.0271156
Abstract: 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… read more here.
Keywords: image quality; quality; fundus image; graders different ... See more keywords