Corneal Edema Visualization With Optical Coherence Tomography Using Deep Learning: Proof of Concept.

Journal: Cornea

Published Date: Oct 1, 2021

Abstract

PURPOSE: Optical coherence tomography (OCT) is essential for the diagnosis and follow-up of corneal edema, but assessment can be challenging in minimal or localized edema. The objective was to develop and validate a novel automated tool to detect and visualize corneal edema with OCT.

Authors

Pierre Zéboulon

Department of Ophthalmology, Rothschild Foundation, Paris, France. Electronic address: pierrezeboulon@gmail.com.
Wassim Ghazal

Department of Ophthalmology, Rothschild Foundation, Paris, France ; and.
Damien Gatinel

Department of Ophthalmology, Rothschild Foundation, Paris, France; CEROC (Center of Expertise and Research in Optics for Clinicians), Paris, France.

Keywords

Adult Aged Algorithms Corneal Edema Deep Learning Humans Middle Aged Neural Networks, Computer Retrospective Studies ROC Curve Tomography, Optical Coherence

External Resources

View on PubMed Access via DOI PubMed (33410639)

Corneal Edema Visualization With Optical Coherence Tomography Using Deep Learning: Proof of Concept.

Abstract

Authors

Keywords

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