Retinal vessel classification: sorting arteries and veins

D. Relan*, T. MacGillivray, L. Ballerini, E. Trucco

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For the discovery of biomarkers in the retinal vasculature it is essential to classify vessels into arteries and veins. We automatically classify retinal vessels as arteries or veins based on colour features using a Gaussian Mixture Model, an Expectation-Maximization (GMM-EM) unsupervised classifier, and a quadrant-pairwise approach. Classification is performed on illumination-corrected images. 406 vessels from 35 images were processed resulting in 92% correct classification (when unlabelled vessels are not taken into account) as compared to 87.6%, 90.08%, and 88.28% reported in [12] [14] and [15]. The classifier results were compared against two trained human graders to establish performance parameters to validate the success of classification method. The proposed system results in specificity of (0.8978, 0.9591) and precision (positive predicted value) of (0.9045, 0.9408) as compared to specificity of (0.8920, 0.7918) and precision of (0.8802, 0.8118) for (arteries, veins) respectively as reported in [13]. The classification accuracy was found to be 0.8719 and 0.8547 for veins and arteries, respectively.

Original languageEnglish
Title of host publicationProceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages7396-7399
Number of pages4
ISBN (Print)9781457702167
DOIs
Publication statusPublished - 2013
Event35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) - Osaka, Japan
Duration: 3 Jul 20137 Jul 2013

Publication series

NameIEEE Engineering in Medicine and Biology Society Conference Proceedings
PublisherIEEE
ISSN (Print)1557-170X

Conference

Conference35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)
Country/TerritoryJapan
Period3/07/137/07/13

Keywords

  • DIAMETERS
  • IMAGES

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