<?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%">OULEFKI, ADEL</style></author><author><style face="normal" font="default" size="100%">Agaian, Sos</style></author><author><style face="normal" font="default" size="100%">Trongtirakul, Thaweesak</style></author><author><style face="normal" font="default" size="100%">Laouar, Azzeddine Kassah</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images</style></title><secondary-title><style face="normal" font="default" size="100%">Pattern recognitionPattern Recognition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S0031320320305501</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">114</style></volume><pages><style face="normal" font="default" size="100%">107747</style></pages><isbn><style face="normal" font="default" size="100%">0031-3203</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	History shows that the infectious disease (COVID-19) can stun the world quickly, causing massive losses to health, resulting in a profound impact on the lives of billions of people, from both a safety and an economic perspective, for controlling the COVID-19 pandemic. The best strategy is to provide early intervention to stop the spread of the disease. In general,&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/computer-tomography&quot; title=&quot;Learn more about Computer Tomography from ScienceDirect's AI-generated Topic Pages&quot;&gt;Computer Tomography&lt;/a&gt;&amp;nbsp;(CT) is used to detect tumors in&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/pneumoniae&quot; title=&quot;Learn more about pneumonia from ScienceDirect's AI-generated Topic Pages&quot;&gt;pneumonia&lt;/a&gt;, lungs, tuberculosis, emphysema, or other pleura (the membrane covering the lungs) diseases. Disadvantages of CT&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/computer-science/imaging-systems&quot; title=&quot;Learn more about imaging system from ScienceDirect's AI-generated Topic Pages&quot;&gt;imaging system&lt;/a&gt;&amp;nbsp;are: inferior soft tissue contrast compared to MRI as it is X-ray-based Radiation exposure. Lung CT&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/computer-science/image-segmentation&quot; title=&quot;Learn more about image segmentation from ScienceDirect's AI-generated Topic Pages&quot;&gt;image segmentation&lt;/a&gt;&amp;nbsp;is a necessary initial step for lung image analysis. The main challenges of segmentation algorithms exaggerated due to intensity in-homogeneity, presence of&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/artefact&quot; title=&quot;Learn more about artifacts from ScienceDirect's AI-generated Topic Pages&quot;&gt;artifacts&lt;/a&gt;, and closeness in the gray level of different soft tissue. The goal of this paper is to design and evaluate an automatic tool for automatic COVID-19 Lung Infection segmentation and measurement using chest CT images. The extensive computer simulations show better efficiency and flexibility of this end-to-end learning approach on CT image segmentation with image enhancement comparing to the state of the art&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/computer-science/segmentation-approach&quot; title=&quot;Learn more about segmentation approaches from ScienceDirect's AI-generated Topic Pages&quot;&gt;segmentation approaches&lt;/a&gt;, namely GraphCut,&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/engineering/medical-image-segmentation&quot; title=&quot;Learn more about Medical Image Segmentation from ScienceDirect's AI-generated Topic Pages&quot;&gt;Medical Image Segmentation&lt;/a&gt;&amp;nbsp;(MIS), and Watershed. Experiments performed on COVID-CT-Dataset containing (275) CT scans that are positive for COVID-19 and new data acquired from the EL-BAYANE center for Radiology and&amp;nbsp;&lt;a href=&quot;https://www.sciencedirect.com/topics/computer-science/medical-imaging&quot; title=&quot;Learn more about Medical Imaging from ScienceDirect's AI-generated Topic Pages&quot;&gt;Medical Imaging&lt;/a&gt;. The means of statistical measures obtained using the accuracy, sensitivity, F-measure, precision, MCC, Dice, Jacquard, and specificity are 0.98, 0.73, 0.71, 0.73, 0.71, 0.71, 0.57, 0.99 respectively; which is better than methods mentioned above. The achieved results prove that the proposed approach is more robust, accurate, and straightforward.
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