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Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.

AIMS: To determine if neural networks can detect diabetic features in fundus images and compare the network against an ophthalmologist screening a set of fundus images. METHODS: 147 diabetic and 32 normal images were captured from a fundus camera, stored on computer, and analysed using a back propag...

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Autores principales: Gardner, G G, Keating, D, Williamson, T H, Elliott, A T
Formato: Artigo
Lenguaje:Inglês
Publicado: 1996
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC505667/
https://ncbi.nlm.nih.gov/pubmed/8976718
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