An ensembling approach for optic cup detection based on spatial heuristic analysis in retinal fundus images.

Published

Journal Article

Optic cup detection remains a challenging task in retinal image analysis, and is of particular importance for glaucoma evaluation, where disease severity is often assessed by the size of the optic cup. In this paper, we propose spatial heuristic ensembling (SHE), an approach which aims to fuse the advantages of each method based on the specific performance in each defined sector. In this way, we generate an ensembled optic cup which is obtained from the optimal combination of the component methods. We conduct experiments on the ORIGA data set of 650 retinal images and show that the ensemble approach performs better than the individual segmentations, reducing the relative overlap error, and CDR errors by as much as 0.04 CDR units. The results are promising for the continued development of such an approach for improving optic cup segmentation.

Full Text

Duke Authors

Cited Authors

  • Wong, DWK; Liu, J; Tan, NM; Fengshou, Y; Cheung, C; Baskaran, M; Aung, T; Wong, TY

Published Date

  • 2012

Published In

Volume / Issue

  • 2012 /

Start / End Page

  • 1426 - 1429

PubMed ID

  • 23366168

Pubmed Central ID

  • 23366168

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/EMBC.2012.6346207

Language

  • eng

Conference Location

  • United States