Automated segmentation of optic disc and optic cup in fundus images for glaucoma diagnosis

Fengshou Yin, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Carol Cheung, Mani Baskaran, Tin Aung, Tien Yin Wong

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

104 Citations (Scopus)

Abstract

The vertical Cup-to-Disc Ratio (CDR) is an important indicator in the diagnosis of glaucoma. Automatic segmentation of the optic disc (OD) and optic cup is crucial towards a good computer-aided diagnosis (CAD) system. This paper presents a statistical model-based method for the segmentation of the optic disc and optic cup from digital color fundus images. The method combines knowledge-based Circular Hough Transform and a novel optimal channel selection for segmentation of the OD. Moreover, we extended the method to optic cup segmentation, which is a more challenging task. The system was tested on a dataset of 325 images. The average Dice coefficient for the disc and cup segmentation is 0.92 and 0.81 respectively, which improves significantly over existing methods. The proposed method has a mean absolute CDR error of 0.10, which outperforms existing methods. The results are promising and thus demonstrate a good potential for this method to be used in a mass screening CAD system.

Original languageEnglish
Title of host publicationProceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012 - Rome, Italy
Duration: 20 Jun 201222 Jun 2012

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012
Country/TerritoryItaly
CityRome
Period20/06/1222/06/12

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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