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A combined convolutional and recurrent neural network for enhanced glaucoma detection

Glaucoma, a leading cause of blindness, is a multifaceted disease with several patho-physiological features manifesting in single fundus images (e.g., optic nerve cupping) as well as fundus videos (e.g., vascular pulsatility index). Current convolutional neural networks (CNNs) developed to detect gl...

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Detalles Bibliográficos
Autores principales:	Gheisari, Soheila, Shariflou, Sahar, Phu, Jack, Kennedy, Paul J., Agar, Ashish, Kalloniatis, Michael, Golzan, S. Mojtaba
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820237/ https://www.ncbi.nlm.nih.gov/pubmed/33479405 http://dx.doi.org/10.1038/s41598-021-81554-4

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