• DocumentCode
    2484234
  • Title

    Automatic glaucoma diagnosis from fundus image

  • Author

    Liu, J. ; Yin, F.S. ; Wong, D.W.K. ; Zhang, Z. ; Tan, N.M. ; Cheung, C.Y. ; Baskaran, M. ; Aung, T. ; Wong, T.Y.

  • Author_Institution
    Inst. for Infocomm Res., A*STAR, Singapore, Singapore
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    3383
  • Lastpage
    3386
  • Abstract
    Glaucoma is currently diagnosed by glaucoma specialists using specialized imaging devices like HRT and OCT. Fundus imaging is a modality widely used in primary healthcare. An automatic glaucoma diagnosis system based on fundus image can be deployed to primary healthcare clinics and has potential for early disease diagnosis. A mass glaucoma screening program can also be facilitated using such a system. We present an automatic fundus image based cup-to-disc ratio measurement system; and demonstrate its potential for automatic objective glaucoma diagnosis and screening. It provides strong support to use fundus image as the modality for automatic glaucoma diagnosis.
  • Keywords
    biomedical optical imaging; diseases; medical image processing; vision defects; HRT; OCT; automatic glaucoma diagnosis; cup-disc ratio measurement system; early disease diagnosis; fundus image; primary healthcare clinics; Biomedical optical imaging; Image segmentation; Optical imaging; Optical receivers; Optical sensors; Retina; Automation; Fundus Oculi; Glaucoma; Humans; Mass Screening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090916
  • Filename
    6090916