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<dc:title xml:lang="pl"><![CDATA[Assessment of hydrocephalus in children based on digital image processing and analysis]]></dc:title>
<dc:creator><![CDATA[Fabijańska, Anna]]></dc:creator>
<dc:creator><![CDATA[Węgliński, Tomasz]]></dc:creator>
<dc:creator><![CDATA[Zakrzewski, Krzysztof]]></dc:creator>
<dc:creator><![CDATA[Nowosławska, Emilia]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[hydrocephalus]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[computed tomography]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[image segmentation]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[Evans index]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[frontal and occipital horn ratio]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[ventricular angle]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[frontal horn radius]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Hydrocephalus is a pathological condition of the central nervous system which often affects neonates and young children. It manifests itself as an abnormal accumulation of cerebrospinal fluid within the ventricular system of the brain with its subsequent progression. One of the most important diagnostic methods of identifying hydrocephalus is Computer Tomography (CT).]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The enlarged ventricular system is clearly visible on CT scans. However, the assessment of the disease progress usually relies on the radiologist?s judgment and manual measurements, which are subjective, cumbersome and have limited accuracy. Therefore, this paper regards the problem of semi-automatic assessment of hydrocephalus using image processing and analysis algorithms. In particular, automated determination of popular indices of the disease progress is considered.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Algorithms for the detection, semi-automatic segmentation and numerical description of the lesion are proposed. Specifically, the disease progress is determined using shape analysis algorithms. Numerical results provided by the introduced methods are presented and compared with those calculated manually by a radiologist and a trained operator. The comparison proves the correctness of the introduced approach.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Makowski, Ryszard - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Zarzycki, Jan - ed.]]></dc:contributor>
<dc:date><![CDATA[2014]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/78932/AMCS_2014_24_2_6.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/88746/edition/78932/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:78932]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 24, number 2 (2014)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=57]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:88746]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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