Towards automatic detection of age-related macular degeneration in retinal fundus images.

Published

Journal Article

Age-related macular degeneration (AMD) is a leading cause of blindness worldwide. The disease is highly associated with age, and becoming increasingly prevalent in our aging societies. Drusen is a pathological feature that is well-associated with AMD. In this paper, we present a method of detecting drusen in retinal fundus images. The method first determines the location of the macula, which is used as a landmark for a clinical drusen grading overlay. Subsequently, regions of drusen are identified though a maximal region-based pixel intensity approach via RGB and HSV channels. Methods of reducing the effect of retinal and choroidal vessels are also described. The system is tested on a sample set of 16 fundus images from a clinical study, with half having drusen. Experiments on the results show a sensitivity and specificity of 0.75 on the test image set.

Full Text

Duke Authors

Cited Authors

  • Liang, Z; Wong, DWK; Liu, J; Chan, KL; Wong, TY

Published Date

  • 2010

Published In

Volume / Issue

  • 2010 /

Start / End Page

  • 4100 - 4103

PubMed ID

  • 21096627

Pubmed Central ID

  • 21096627

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/IEMBS.2010.5627289

Language

  • eng

Conference Location

  • United States