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Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
(Optical Society of America, 2019-02-01)
Glaucoma detection in color fundus images is a challenging task that requires expertise and years of practice. In this study we exploited the application of different Convolutional Neural Networks (CNN) ...
Diagnostic accuracy and detection rate of glaucoma screening with optic disk photos, optical coherence tomography images, and telemedicine
(MDPI, 2022)
Purpose: The aim of this study was to evaluate the diagnostic accuracy of optical coherence tomography (OCT) and retinography in the detection of glaucoma through a telemedicine program. Methods: A ...