• DocumentCode
    3238052
  • Title

    A field of experts model for optic cup and disc segmentation from retinal fundus images

  • Author

    Mahapatra, Dwarikanath ; Buhmann, Joachim M.

  • Author_Institution
    Dept. of Comput. Sci., ETH Zurich, Zurich, Switzerland
  • fYear
    2015
  • fDate
    16-19 April 2015
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    We present a Field of Experts (FoE) model to segment the optic cup and disc from retinal fundus images. FoE learns a prior model of the cup and neuro-retinal rim region in the form of filters, without relying on hand crafted features. FoE filter responses are integrated into a Random forest (RF) classifier that outputs probability maps for the test image and finally segments the cup and rim. Experimental results show our method achieves significantly better performance than current state-of-the-art.
  • Keywords
    eye; image segmentation; medical image processing; probability; FoE; disc segmentation; experts model; optic cup; probability maps; random forest classifier; retinal fundus images; Adaptive optics; Biomedical optical imaging; Image segmentation; Optical imaging; Radio frequency; Retina; Training; CDR; Field of Experts; glaucoma; optic cup; optic disc; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/ISBI.2015.7163853
  • Filename
    7163853