Deep learning algorithm predicts diabetic retinopathy progression in individual patients

The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR progression by means of deep learning (DL), using as input color fundus photographs (CFPs) acquired at a single visit from a patien...

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Detalles Bibliográficos
Autores principales: Arcadu, Filippo, Benmansour, Fethallah, Maunz, Andreas, Willis, Jeff, Haskova, Zdenka, Prunotto, Marco
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/PMC6754451/
https://www.ncbi.nlm.nih.gov/pubmed/31552296
http://dx.doi.org/10.1038/s41746-019-0172-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6754451/
https://www.ncbi.nlm.nih.gov/pubmed/31552296
http://dx.doi.org/10.1038/s41746-019-0172-3

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