Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection

Yuming Jiang, Hu Xia, Yanwu Xu, Jun Cheng, Huazhu Fu, Lixin Duan, Zhigang Meng, Jiang Liu

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

13 Citations (Scopus)

Abstract

Glaucoma is one of the major causes of blindness. Researchers keep looking for better ways to detect glaucoma in its early stage before it gets worse and cannot be cured. Among existing methods, the vertical cup to disc ratio (CDR) has been found to be effective for glaucoma measurement, which is calculated from the diameters of the optic cup and disc regions. Therefore, in order to achieve a more accurate CDR, a good segmentation of the optic disc and cup regions is quite important. Noting that the shape of the disc and cup regions can be assumed to be an ellipse, in this work we propose to find the minimal bounding boxes for the two regions based on the recent advances of deep learning. Also, considering blood vessels, passing through the disc area in a fundus image, can affect the detection of the bounding boxes, we further propose to remove the blood vessels beforehand in order to further boost the overall performance. Comprehensive experiments show that our proposed method achieves state-of-the-art performance on ORIGA-650 for optic disc and cup segmentation.

Original languageEnglish
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages862-865
Number of pages4
ISBN (Electronic)9781538636466
DOIs
Publication statusPublished - 26 Oct 2018
Externally publishedYes
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: 18 Jul 201821 Jul 2018

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2018-July
ISSN (Print)1557-170X

Conference

Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Country/TerritoryUnited States
CityHonolulu
Period18/07/1821/07/18

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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