Radial polarisation patterns identify macular damage: a machine learning approach.

Journal: Clinical & experimental optometry
Published Date:

Abstract

CLINICAL RELEVANCE: Identifying polarisation-modulated patterns may be an effective method for both detecting and monitoring macular damage.

Authors

  • Gary P Misson
    School of Optometry, Aston University, Birmingham, UK.
  • Stephen J Anderson
    School of Optometry, Aston University, Birmingham, UK.
  • Mark C M Dunne
    School of Optometry, Aston University, Birmingham, UK.