A combined convolutional and recurrent neural network for enhanced glaucoma detection

Abstract 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...

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Autores principales: Soheila Gheisari, Sahar Shariflou, Jack Phu, Paul J. Kennedy, Ashish Agar, Michael Kalloniatis, S. Mojtaba Golzan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/7c2228465968407c9872f6dbb79a31c4
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