Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images

PURPOSE: To evaluate the performance of a deep learning algorithm in the detection of referral-warranted diabetic retinopathy (RDR) on low-resolution fundus images acquired with a smartphone and indirect ophthalmoscope lens adapter. METHODS: An automated deep learning algorithm trained on 92,364 tra...

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Detalles Bibliográficos
Autores principales: Ludwig, Cassie A., Perera, Chandrashan, Myung, David, Greven, Margaret A., Smith, Stephen J., Chang, Robert T., Leng, Theodore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718806/
https://www.ncbi.nlm.nih.gov/pubmed/33294301
http://dx.doi.org/10.1167/tvst.9.2.60

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718806/
https://www.ncbi.nlm.nih.gov/pubmed/33294301
http://dx.doi.org/10.1167/tvst.9.2.60

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