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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| 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 |