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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR. METHODS: We randomly selected patients with diabetes screened twice, two years apart within...
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| Udgivet i: | J Diabetes Res |
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Hindawi
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7758133/ https://ncbi.nlm.nih.gov/pubmed/33381600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/8839376 |
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