Browsing by Author "Moya Sánchez, Eduardo Ulises"
Now showing items 1-4 of 4
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A quaternion deterministic monogenic CNN layer for contrast invariance
(Springer, 2021)
Part of book or chapter of book
Restricted access - publisher's policyDeep learning (DL) is attracting considerable interest as it currently achieves remarkable performance in many branches of science and technology. However, current DL cannot guarantee capabilities of the mammalian visual ... -
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 ... -
Detection, counting, and classification of visual ganglia columns of drosophila pupae
(2019)
Article
Open AccessMany neurobiologists use the fruit fly (Drosophila) as a model to study neuron interaction and neuron organization and then extrapolate this knowledge to the nature of human neurological disorders. Recently, the fluorescence ...
