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Summary: Automated Optic Nerve Analysis for Diagnostic Support in
Glaucoma
1
Jin Yu, 1
Syed Sibte Raza Abidi, 2
Paul Habib Artes, 1
Andrew McIntyre, 1
Malcolm
Heywood
1
Health Informatics Laboratory, Faculty of Computer Science, Dalhousie University
2
Dept. of Ophthalmology and Visual Sciences, Dalhousie University
sraza@cs.dal.ca
Abstract
The availability of modern imaging techniques such as Confocal Scanning Laser
Tomography (CSLT) for capturing high-quality optic nerve images offer the potential for
developing automatic and objective methods for supporting clinical decision-making in
glaucoma. We present a hybrid approach that features the analysis of CSLT images using
moment methods to derive abstract image defining features, and the use of these features to
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