Automated cornea diagnosis using deep convolutional neural networks based on cornea topography maps

Cornea topography maps allow ophthalmologists to screen and diagnose cornea pathologies. We aim to automatically identify any cornea abnormalities based on such cornea topography maps, with focus on diagnosing keratoconus. To do so, we represent the OCT scans as images and apply Convolutional Neural...

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Detalles Bibliográficos
Autores principales: Fassbind, Benjamin, Langenbucher, Achim, Streich, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121572/
https://www.ncbi.nlm.nih.gov/pubmed/37085580
http://dx.doi.org/10.1038/s41598-023-33793-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121572/
https://www.ncbi.nlm.nih.gov/pubmed/37085580
http://dx.doi.org/10.1038/s41598-023-33793-w

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