Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning

Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning

In order to generate a machine learning algorithm (MLA) that can support ophthalmologists with the diagnosis of glaucoma, a carefully selected dataset that is based on clinically confirmed glaucoma patients as well as borderline cases (e.g., patients with suspected glaucoma) is required. The clinica...

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Bibliographic Details
Main Authors: Raphael Diener, Alexander W. Renz, Florian Eckhard, Helmar Segbert, Nicole Eter, Arnim Malcherek, Julia Biermann
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Diagnostics
Subjects:
machine learning
glaucoma
glaucoma suspects
data annotation
ground truth
Online Access:https://www.mdpi.com/2075-4418/14/11/1073

Internet

https://www.mdpi.com/2075-4418/14/11/1073

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