Closed angle glaucoma detection in RetCam images.


Journal Article

Closed/Open angle glaucoma classification is important for glaucoma diagnosis. RetCam is a new imaging modality that captures the image of iridocorneal angle for the classification. However, manual grading and analysis of the RetCam image is subjective and time consuming. In this paper, we propose a system for intelligent analysis of iridocorneal angle images, which can differentiate closed angle glaucoma from open angle glaucoma automatically. Two approaches are proposed for the classification and their performances are compared. The experimental results show promising results.

Full Text

Duke Authors

Cited Authors

  • Cheng, J; Liu, J; Lee, BH; Wong, DWK; Yin, F; Aung, T; Baskaran, M; Shamira, P; Wong, TY

Published Date

  • 2010

Published In

Volume / Issue

  • 2010 /

Start / End Page

  • 4096 - 4099

PubMed ID

  • 21096626

Pubmed Central ID

  • 21096626

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/IEMBS.2010.5627290


  • eng

Conference Location

  • United States