A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders

A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders

The quality of ocular fundus photographs can affect the accuracy of the morphologic assessment of the optic nerve head (ONH), either by humans or by deep learning systems (DLS). In order to automatically identify ONH photographs of optimal quality, we have developed, trained, and tested a DLS, using...

Full description

Bibliographic Details
Main Authors: Ebenezer Chan, Zhiqun Tang, Raymond P. Najjar, Arun Narayanaswamy, Kanchalika Sathianvichitr, Nancy J. Newman, Valérie Biousse, Dan Milea, for the BONSAI Group
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Diagnostics
Subjects:
retinal image quality assessment
artificial intelligence
deep learning
optic nerve head
papilledema
Online Access:https://www.mdpi.com/2075-4418/13/1/160

Internet

https://www.mdpi.com/2075-4418/13/1/160

Similar Items