<?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%">DOUGLAS  NG</style></author><author><style face="normal" font="default" size="100%">ANITA  WONG</style></author><author><style face="normal" font="default" size="100%">FION  CHEUNG</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CANCER GROWTH MODELS AND ITS TREATMENT</style></title><secondary-title><style face="normal" font="default" size="100%">Neural, Parallel, and Scientific Computations</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">39A10</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://acadsol.eu/npsc/articles/25/1/9.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">25</style></volume><pages><style face="normal" font="default" size="100%">8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The success of radiotherapy treatment relies in accurately localizing the target region&lt;br /&gt;
close to tumor as well as avoiding damage to the nearby healthy organ. In order to control the tumor&lt;br /&gt;
growth and minimize side effects to the patient, it is crucial to make some substantial modifications&lt;br /&gt;
on the patient’s anatomy due to the reduction of the patient’s weight; shrinkage of the tumor; and&lt;br /&gt;
the edema of the tissue before the treatment. For surgery consideration, an efficient registration&lt;br /&gt;
method to delineate the clinically critical objects in computed tomography images obtained from&lt;br /&gt;
the radiation treatment process is needed. Over the last decades, the Deformable Image Registration&lt;br /&gt;
Model has undergone intensive investigation from researchers in the fields of computer vision, remote&lt;br /&gt;
sensing, and etc. Despite the significant progress that has been made, deformable registration&lt;br /&gt;
remains a challenging problem in the field of radiotherapy. In this paper, we discuss several Cancer&lt;br /&gt;
Growth Models, as well as the Deformable Image Registration techniques used in Radiotherapy&lt;br /&gt;
treatment and finally, the model of Quenching-induced deactivation of photosensitizer to improve&lt;br /&gt;
phototherapy of cancer will be introduced.&lt;/p&gt;
</style></abstract><section><style face="normal" font="default" size="100%">107</style></section></record></records></xml>