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A Novel Framework for Hyperemia Grading Based on Artificial Neural Networks

  • Luisa SánchezEmail author
  • Noelia Barreira
  • Hugo Pena-Verdeal
  • Eva Yebra-Pimentel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9094)

Abstract

A common symptom of several pathologies is hyperemia, that occurs when a certain tissue has an abnormal hue of red. An increase of blood flow causes the engorgement of blood vessels, which produces the coloration. Hyperemia is an important parameter that specialists take into account when diagnosing diseases such as dry eye syndrome or problems derived from contact lenses wearing. In this work, we propose an automatic methodology to measure the hyperemia level of the bulbar conjunctiva. This methodology emphasizes the transformation from the extracted features to grading scales, using artificial neural networks for the process.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Luisa Sánchez
    • 1
    Email author
  • Noelia Barreira
    • 1
  • Hugo Pena-Verdeal
    • 2
  • Eva Yebra-Pimentel
    • 2
  1. 1.VARPA Group, Departament of Computer ScienceUniversity of A CoruñaA CoruñaSpain
  2. 2.Optometry Group, Department of Applied PhysicsUniversity of Santiago de CompostelaSantiago de CompostelaSpain

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