TY - CHAP T1 - Novel Visualization Approach of an Automated Image Based Glaucoma Risk Index for Intuitive Diagnosis T2 - Analysis of Biomedical Signals and Images Y1 - 2008 A1 - Jörg Meier A1 - Rudriger Bock A1 - László Gábor Nyúl A1 - Joachim Hornegger A1 - Georg Michelson ED - Jiří Jan ED - Jiří Konzuplik ED - Ivo Provazník AB -

Glaucoma is one of the most common causes for blindnessworldwide. Screening is adequate to detect glaucoma at an early stage. Although it is supported by computer assisted tools no further information from former clinical studies is incorporated. We devised a novel visualization tool that presents additional comparative image data for the diagnosis process. Automated computation of a glaucoma risk index on color fundus photographs is used to initially position an undiagnosed image in reference data. The index achieves a competitive glaucoma detection rate. The combination of the automated risk index and the new visualization technique is an important tool towards a faster and more reliable diagnosis of glaucoma.

JF - Analysis of Biomedical Signals and Images PB - Brno University of Technology CY - Brno N1 - WoS: 000303717200044 ER -