Diagnostic performance of deep-learning-based screening methods for diabetic retinopathy in primary care—A meta-analysis

BACKGROUND: Diabetic retinopathy (DR) affects 10–24% of patients with diabetes mellitus type 1 or 2 in the primary care (PC) sector. As early detection is crucial for treatment, deep learning screening methods in PC setting could potentially aid in an accurate and timely diagnosis. PURPOSE: The purp...

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Detalles Bibliográficos
Autores principales: Wewetzer, Larisa, Held, Linda A., Steinhäuser, Jost
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354436/
https://www.ncbi.nlm.nih.gov/pubmed/34375355
http://dx.doi.org/10.1371/journal.pone.0255034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354436/
https://www.ncbi.nlm.nih.gov/pubmed/34375355
http://dx.doi.org/10.1371/journal.pone.0255034

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