Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning

Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning

Abstract Background Reliable detection of central fixation and eye alignment is essential in the diagnosis of amblyopia (“lazy eye”), which can lead to blindness. Our lab has developed and reported earlier a pediatric vision screener that performs scanning of the retina around the fovea and analyzes...

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Bibliographic Details
Main Author: Boris I. Gramatikov
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BioMedical Engineering OnLine
Subjects:
Artificial neural networks
Vision screener
Amblyopia
Strabismus
Fixation detection
Birefringence
Online Access:http://link.springer.com/article/10.1186/s12938-017-0339-6

Internet

http://link.springer.com/article/10.1186/s12938-017-0339-6

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