Automated diagnosis and staging of Fuchs’ endothelial cell corneal dystrophy using deep learning

BACKGROUND: To describe the diagnostic performance of a deep learning algorithm in discriminating early-stage Fuchs’ endothelial corneal dystrophy (FECD) without clinically evident corneal edema from healthy and late-stage FECD eyes using high-definition optical coherence tomography (HD-OCT). METHOD...

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Detalles Bibliográficos
Autores principales: Eleiwa, Taher, Elsawy, Amr, Özcan, Eyüp, Abou Shousha, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460770/
https://www.ncbi.nlm.nih.gov/pubmed/32884962
http://dx.doi.org/10.1186/s40662-020-00209-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460770/
https://www.ncbi.nlm.nih.gov/pubmed/32884962
http://dx.doi.org/10.1186/s40662-020-00209-z

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