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

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

Abstract 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)...

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Bibliographic Details
Main Authors: Taher Eleiwa, Amr Elsawy, Eyüp Özcan, Mohamed Abou Shousha
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Eye and Vision
Subjects:
Optical coherence tomography
Descemet’s membrane
Corneal endothelium
Fuchs endothelial dystrophy
Online Access:http://link.springer.com/article/10.1186/s40662-020-00209-z

Internet

http://link.springer.com/article/10.1186/s40662-020-00209-z

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