Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study

In any community, the key to understanding the burden of a specific condition is to conduct an epidemiological study. The deep learning system (DLS) recently showed promising diagnostic performance for diabetic retinopathy (DR). This study aims to use DLS as the grading tool, instead of human assess...

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Detalles Bibliográficos
Autores principales: Ting, Daniel S. W., Cheung, Carol Y., Nguyen, Quang, Sabanayagam, Charumathi, Lim, Gilbert, Lim, Zhan Wei, Tan, Gavin S. W., Soh, Yu Qiang, Schmetterer, Leopold, Wang, Ya Xing, Jonas, Jost B., Varma, Rohit, Lee, Mong Li, Hsu, Wynne, Lamoureux, Ecosse, Cheng, Ching-Yu, Wong, Tien Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550209/
https://www.ncbi.nlm.nih.gov/pubmed/31304371
http://dx.doi.org/10.1038/s41746-019-0097-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550209/
https://www.ncbi.nlm.nih.gov/pubmed/31304371
http://dx.doi.org/10.1038/s41746-019-0097-x

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