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<dc:title xml:lang="pl"><![CDATA[Deep Neural Networks in Medical Image Classification]]></dc:title>
<dc:creator><![CDATA[Skobel, Marcin]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[diagnostyka obrazowa]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[rak piersi]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[sztuczne sieci neuronowe (SSN)]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[Polska]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[raport z badań]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[rozprawa doktorska]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[The paper presents two approaches to the problem of classifying cytological images. The first approach is based on the extraction of deep features resulting from training the network to correctly classify a set of cytological and histopathological images. The second approach starts with semantic segmentation of objects in the image. A diverse set of features is then created based on the segmented cell nuclei. Extraction, which belongs to dimensionality reduction methods, is one of the basic approaches to building a set of features.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Thanks to extraction, the original space of the input image is reduced to a set of features describing objects located in the space of this image. Features can be generated in a traditional way, i.e. by determining the morphometric, colorimetric and textural properties of cell nuclei. The set of activities performed in this approach constitutes the comprehensive classi cation system presented in this work.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[To achieve the goal, it was necessary to perform detailed research on the veri cation of the best classi ers, dimensionality reduction methods and the issue of fusion between deep and manual features. The dissertation presents the results obtained in the course of comprehensive research meant to select the most fitting classification model.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[seria: Lecture Notes in Control and Computer Science, vol. 28]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego]]></dc:publisher>
<dc:date><![CDATA[2024]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[książka]]></dc:type>
<dc:type xml:lang="pl"><![CDATA[rozprawa doktorska]]></dc:type>
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<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/86884/skobel_deep_neutral_srodek.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/101691/edition/86884/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:86884]]></dc:identifier>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:101691]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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