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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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Detalles Bibliográficos
Autores principales:	Rajalakshmi, Ramachandran, Subashini, Radhakrishnan, Anjana, Ranjit Mohan, Mohan, Viswanathan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997766/ https://www.ncbi.nlm.nih.gov/pubmed/29520050 http://dx.doi.org/10.1038/s41433-018-0064-9

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