<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Jiří Jan</style></author><author><style face="normal" font="default" size="100%">Jiří Konzuplik</style></author><author><style face="normal" font="default" size="100%">Ivo Provazník</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Novel Visualization Approach of an Automated Image Based Glaucoma Risk Index for Intuitive Diagnosis</style></title><secondary-title><style face="normal" font="default" size="100%">Analysis of Biomedical Signals and Images</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Brno University of Technology</style></publisher><pub-location><style face="normal" font="default" size="100%">Brno</style></pub-location><pages><style face="normal" font="default" size="100%">205 - 209</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">WoS: 000303717200044</style></notes></record></records></xml>