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

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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Bibliographic Details
Main Authors: Marc Baget-Bernaldiz, Romero-Aroca Pedro, Esther Santos-Blanco, Raul Navarro-Gil, Aida Valls, Antonio Moreno, Hatem A. Rashwan, Domenec Puig
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Diagnostics
Subjects:
diabetic retinopathy
deep learning algorithm
convolutional neural networks
diabetic retinopathy screening
Online Access:https://www.mdpi.com/2075-4418/11/8/1385

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https://www.mdpi.com/2075-4418/11/8/1385

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