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ALTAIR: supervised methodology to obtain retinal vessels caliber

  • CHAMOSO, Pablo [1] ; PÉREZ-RAMOS, Henar [2] ; GARCÍA-GARCÍA, Ángel [2]
    1. [1] Universidad de Salamanca

      Universidad de Salamanca

      Salamanca, España

    2. [2] Primary Care Research Unit, La Alamedilla Health Centre, REDIAPP, IBSAL, SACyL
  • Localización: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, ISSN-e 2255-2863, Vol. 3, Nº. 4, 2014, págs. 48-57
  • Idioma: inglés
  • DOI: 10.14201/ADCAIJ2014345060
  • Enlaces
  • Resumen

    • A back of the eye examination allows performing a noninvasive evaluation of the retinal microcirculation, as well as of the vascular damage induced by multiple cardiovascular risk factors. The objective of this work is to study the existing needs to lead to the development and validation (reliability and validity) of a methodology able to extract all the information from the images of the back of the eye to solve the studied needs. Its development will subsequently allow analyzing its utility in various clinical environments. Currently there are different works that evaluate the thickness of the retinal veins and arteries, but they require either full intervention by an observer or no intervention at all, so when facing incorrect analysis (none of them achieves a 100 % accuracy in automatic analysis) erroneous results can be a serious problem when drawing conclusions. The proposed solution refers to the second group (automatic), but providing a supervisor the possibility to interfere with the analysis when any kind of error is produced, which ideally will not happen many times. Thanks to this the possible subjectivity that can be introduced by the supervisor does not affect the final result of the analysis.

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