Local patch reconstruction framework for optic cup localization in glaucoma detection.

Published

Conference Paper

Optic cup localization/segmentation has attracted much attention from medical imaging researchers, since it is the primary image component clinically used for identifying glaucoma, which is a leading cause of blindness. In this work, we present an optic cup localization framework based on local patch reconstruction, motivated by the great success achieved by reconstruction approaches in many computer vision applications recently. Two types of local patches, i.e. grids and superpixels are used to show the variety, generalization ability and robustness of the proposed framework. Tested on the ORIGA clinical dataset, which comprises of 325 fundus images from a population-based study, both implementations under the proposed frameworks achieved higher accuracy than the state-of-the-art techniques.

Full Text

Duke Authors

Cited Authors

  • Xu, Y; Quan, Y; Huang, Y; Tan, NM; Li, R; Duan, L; Chen, L; Liu, H; Chen, X; Wong, DWK; Baskaran, M; Perera, S; Aung, T; Wong, TY; Liu, J

Published Date

  • 2014

Published In

Volume / Issue

  • 2014 /

Start / End Page

  • 5418 - 5421

PubMed ID

  • 25571219

Pubmed Central ID

  • 25571219

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/EMBC.2014.6944851

Conference Location

  • United States