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

Internet

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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