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Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence
OBJECTIVES: To assess the role of artificial intelligence (AI)-based automated software for detection of diabetic retinopathy (DR) and sight-threatening DR (STDR) by fundus photography taken using a smartphone-based device and validate it against ophthalmologist’s grading. METHODS: Three hundred and...
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| Publicado no: | Eye (Lond) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5997766/ https://ncbi.nlm.nih.gov/pubmed/29520050 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41433-018-0064-9 |
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