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Addressing Artificial Intelligence Bias in Retinal Diagnostics

PURPOSE: This study evaluated generative methods to potentially mitigate artificial intelligence (AI) bias when diagnosing diabetic retinopathy (DR) resulting from training data imbalance or domain generalization, which occurs when deep learning systems (DLSs) face concepts at test/inference time th...

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Detalhes bibliográficos
Publicado no:Transl Vis Sci Technol
Main Authors: Burlina, Philippe, Joshi, Neil, Paul, William, Pacheco, Katia D., Bressler, Neil M.
Formato: Artigo
Idioma:Inglês
Publicado em: The Association for Research in Vision and Ophthalmology 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7884292/
https://ncbi.nlm.nih.gov/pubmed/34003898
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.10.2.13
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