• DocumentCode
    3473695
  • Title

    An automatic method for the estimation of Arteriolar-to-Venular Ratio in retinal images

  • Author

    Dashtbozorg, Behdad ; Mendonca, Ana Maria ; Campilho, Aurelio

  • Author_Institution
    INEB-Inst. de Eng. Biomed., Porto, Portugal
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    512
  • Lastpage
    513
  • Abstract
    This paper presents an automatic approach for the estimation of Arteriolar-to-Venular Ratio (AVR) in retinal images. The method was assessed using the images of the INSPIRE-AVR database. A mean error of 0.05 was obtained when the method´s results were compared with reference AVR values provided with this dataset, thus demonstrating the adequacy of the proposed solution for AVR estimation.
  • Keywords
    blood vessels; eye; image classification; image segmentation; medical image processing; vision; AVR estimation; INSPIRE-AVR database; arteriolar-venular ratio estimation; automatic method; mean error; reference AVR values; retinal images; Adaptive optics; Arteries; Image segmentation; Observers; Optical imaging; Retina; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on
  • Conference_Location
    Porto
  • Type

    conf

  • DOI
    10.1109/CBMS.2013.6627854
  • Filename
    6627854