Testing a Deep Learning Algorithm for Detection of Diabetic Retinopathy in a Spanish Diabetic Population and with MESSIDOR Database

Background: The aim of the present study was to test our deep learning algorithm (DLA) by reading the retinographies. Methods: We tested our DLA built on convolutional neural networks in 14,186 retinographies from our population and 1200 images extracted from MESSIDOR. The retinal images were graded...

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Detalles Bibliográficos
Autores principales: Baget-Bernaldiz, Marc, Pedro, Romero-Aroca, Santos-Blanco, Esther, Navarro-Gil, Raul, Valls, Aida, Moreno, Antonio, Rashwan, Hatem A., Puig, Domenec
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394605/
https://www.ncbi.nlm.nih.gov/pubmed/34441319
http://dx.doi.org/10.3390/diagnostics11081385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394605/
https://www.ncbi.nlm.nih.gov/pubmed/34441319
http://dx.doi.org/10.3390/diagnostics11081385

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