<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Martonossy</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Zoltán Alexin</style></author><author><style face="normal" font="default" size="100%">Attila Kuba</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Damir Kalpic</style></author><author><style face="normal" font="default" size="100%">Vesna Hljuz Dobrić</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Image Compression in SZOTE-PACS (Picture Archiving and Communication System) in Szeged</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Information Technology Interfaces (ITI)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 1999</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Zagreb</style></publisher><pub-location><style face="normal" font="default" size="100%">Zagreb</style></pub-location><pages><style face="normal" font="default" size="100%">305 - 310</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;SZOTE-PACS is a joint software development between the JózsefAttila University and the Albert Szent-Györgyi Medical University of Szeged for archiving and transferring medical studies. The system is able to collect medical studies from different imaging modalities and store them studies in common standard DICOM format in a central oracle database. There is an end user application that allows searching for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. Due to the limited storage space available, efforts have been made to utilized image compression techniques in order to increase the amount of image data that can be stored in the archive. The achieved results and some of the problems related to this task will be presented.&lt;/p&gt;</style></abstract></record></records></xml>