<?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%">Milan Lesko</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Antal Nagy</style></author><author><style face="normal" font="default" size="100%">Imre Gombos</style></author><author><style face="normal" font="default" size="100%">Zsolt Török</style></author><author><style face="normal" font="default" size="100%">László Vígh</style></author><author><style face="normal" font="default" size="100%">László Vígh</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Aytul Ercil</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Live cell segmentation in fluorescence microscopy via graph cut</style></title><secondary-title><style face="normal" font="default" size="100%">20th international conference on pattern recognition (ICPR 2010)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Aug 2010</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Istanbul, Turkey</style></pub-location><pages><style face="normal" font="default" size="100%">1485 - 1488</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4244-7542-1 </style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodular. Thus the exact energy minima is obtained via a max-flow/min-cut algorithm. The method has been quantitatively evaluated on synthetic images as well as on fluorescence microscopic images of live cells. © 2010 IEEE.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><accession-num><style face="normal" font="default" size="100%">11593484 </style></accession-num><notes><style face="normal" font="default" size="100%">ScopusID: 78149486419doi: 10.1109/ICPR.2010.367Besorolás: Konferenciaközlemény</style></notes></record></records></xml>