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Detection and compensation of systematic errors in a null-screen corneal topographer with artificial intelligence
Author(s): Andrés Peña-Conzuelo; Manuel Campos-García
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Paper Abstract

We present a new iteration for a null-screen based conical corneal topographer, designed to be used as an accessory for currently generation smartphones, also featuring pattern recognition techniques, aimed to reduce the effects of systematic errors present whenever a null-screen test is performed on an actual patient. At their current state, they mostly provide information about recommended starting points for the fitting algorithm, with further capabilities still under development.

Paper Details

Date Published: 21 June 2019
PDF: 7 pages
Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610G (21 June 2019); doi: 10.1117/12.2525949
Show Author Affiliations
Andrés Peña-Conzuelo, Univ. Nacional Autónoma de México (Mexico)
Manuel Campos-García, Univ. Nacional Autónoma de México (Mexico)

Published in SPIE Proceedings Vol. 11061:
Automated Visual Inspection and Machine Vision III
Jürgen Beyerer; Fernando Puente León, Editor(s)

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