<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelghani Tafsast</style></author><author><style face="normal" font="default" size="100%">Mohamed Laid Hadjili</style></author><author><style face="normal" font="default" size="100%">Ayache Bouakaz</style></author><author><style face="normal" font="default" size="100%">Nabil Benoudjit</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in &lt;sup&gt;18&lt;/sup&gt;F-FDG-PET images</style></title><secondary-title><style face="normal" font="default" size="100%">IET image processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.1024</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">389-396</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">6</style></issue></record></records></xml>