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A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography
As the prevalence of diabetes increases, millions of people need to be screened for diabetic retinopathy (DR). Remarkable advances in technology have made it possible to use artificial intelligence to screen DR from retinal images with high accuracy and reliability, resulting in reducing human labor...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626435/ https://www.ncbi.nlm.nih.gov/pubmed/34837030 http://dx.doi.org/10.1038/s41598-021-02479-6 |