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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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| Publicado no: | Eye Vis (Lond) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7460770/ https://ncbi.nlm.nih.gov/pubmed/32884962 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40662-020-00209-z |
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