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Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort

Fig 2

The prevalence of normal cases, and target and non-target lesions of a deep-learning algorithm (DLA) showing significant differences between the three institutions.

Institution G has fewer normal cases and more DLA-non-target lesions compared to those of the other two institutions.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0246472.g002