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Software Agents in Retinal Vessels Classification

  • Pablo ChamosoEmail author
  • Sara Rodríguez
  • Fernando De La Prieta
  • Juan F. De Paz
  • Javier Bajo Pérez
  • Juan Manuel Corchado Rodríguez
  • Luis García-Ortiz
Conference paper
First Online:
  • 557 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10207)

Abstract

This article presents a methodology for the classification of retinal vessels based on agreement technologies and artificial vision. Some studies have demonstrated a direct relationship between the information gathered from retinal images and certain pathologies such as hypertension or diabetes. There are different works that present methodologies based on image processing algorithms to extract that information, but there is no globally accepted methodology to obtain the information automatically, which is the objective of this work. The proposed methodology has been evaluated by one expert user and compared with other existing free software with similar features.

Keywords

Agents Agreement technologies Retinal vessels Visual analysis e-Health 
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Notes

Acknowledgments

This work was carried out under the frame of the project with Ref. “TIN2015-65515-C4-3-R”. The research of Pablo Chamoso has been financed by the Regional Ministry of Education in Castilla y León and the European Social Fund (EDU/310/2015).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Pablo Chamoso
    • 1
    Email author
  • Sara Rodríguez
    • 1
  • Fernando De La Prieta
    • 1
  • Juan F. De Paz
    • 1
  • Javier Bajo Pérez
    • 2
  • Juan Manuel Corchado Rodríguez
    • 1
  • Luis García-Ortiz
    • 3
  1. 1.IBSAL/BISITE Research Group, Edificio I+D+IUniversity of SalamancaSalamancaSpain
  2. 2.Department of Artificial IntelligenceTechnical University of MadridMadridSpain
  3. 3.Primary Care Research Unit La AlamedillaCastilla and León Health Service (SACYL)SalamancaSpain

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