Glaucoma risk index: Automated glaucoma detection from color fundus images

Bock R, Meier J, Nyul LG, Hornegger J, Michelson G (2010)

Publication Type: Journal article, Original article

Publication year: 2010

Journal

Medical Image Analysis Elsevier

Original Authors: Bock R., Meier J., Nyúl L., Hornegger J., Michelson G.

Publisher: Elsevier

Book Volume: 14

Pages Range: 471-481

Journal Issue: 3

DOI: 10.1016/j.media.2009.12.006

Abstract

Glaucoma as a neurodegeneration of the optic nerve is one of the most common causes of blindness. Because revitalization of the degenerated nerve fibers of the optic nerve is impossible early detection of the disease is essential. This can be supported by a robust and automated mass-screening. We propose a novel automated glaucoma detection system that operates on inexpensive to acquire and widely used digital color fundus images. After a glaucoma specific preprocessing, different generic feature types are compressed by an appearance-based dimension reduction technique. Subsequently, a probabilistic two-stage classification scheme combines these features types to extract the novel Glaucoma Risk Index (GRI) that shows a reasonable glaucoma detection performance. On a sample set of 575 fundus images a classification accuracy of 80% has been achieved in a 5-fold cross-validation setup. The GRI gains a competitive area under ROC (AUC) of 88% compared to the established topography-based glaucoma probability score of scanning laser tomography with AUC of 87%. The proposed color fundus image-based GRI achieves a competitive and reliable detection performance on a low-priced modality by the statistical analysis of entire images of the optic nerve head. © 2009 Elsevier B.V.

Authors with CRIS profile

Rüdiger Bock Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Georg Michelson Department of Ophthalmology

Involved external institutions

University of Szeged / József Attila Tudományegyetem Szeged HU Hungary (HU)

How to cite

APA:

Bock, R., Meier, J., Nyul, L.G., Hornegger, J., & Michelson, G. (2010). Glaucoma risk index: Automated glaucoma detection from color fundus images. Medical Image Analysis, 14(3), 471-481. https://dx.doi.org/10.1016/j.media.2009.12.006

MLA:

Bock, Rüdiger, et al. "Glaucoma risk index: Automated glaucoma detection from color fundus images." Medical Image Analysis 14.3 (2010): 471-481.

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