Diagnostic performance of deep-learning-based screening methods for diabetic retinopathy in primary care-A meta-analysis.
<h4>Background</h4>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...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2021
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| Accès en ligne: | https://doaj.org/article/bc6fd489bd594fc7aeafbd9d7a999f11 |
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