Browsing by Author "Zapata Victori, Miguel Ángel"
Now showing items 1-4 of 4
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Artificial intelligence to identify retinal fundus images, quality validation, laterality evaluation, macular degeneration, and suspected glaucoma
(2020-02-13)
Article
Open AccessPurpose: To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation ... -
Data augmentation for deep learning of non-mydriatic screening retinal fundus images
(Springer, 2018)
Conference report
Restricted access - publisher's policyFundus image is an effective and low-cost tool to screen for common retinal diseases. At the same time, Deep Learning (DL) algorithms have been shown capable of achieving similar or even better performance accuracies than ... -
Inter-ocular asymmetry in choroidal thickness and retinal sensitivity in high myopia
(2017-07-06)
Article
Open AccessPURPOSE:: To investigate the normal range of interocular asymmetry in choroidal thickness and retinal sensitivity in high myopia without ocular fundus manifestations and to determine the relationship between interocular ...
