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A rule-based region growing fuzzy segmentation system for pathological brain computed tomography images

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, a new rule-based region growing fuzzy segmentation system, capable to segment computed tomography (CT) grayscale images into physiologically and pathologically meaningful regions for display and measurement, is presented. The proposed segmentation approach uses the Mamdani fuzzy control model and can be considered as a general CT segmentation technique. It can be used as a support tool for recognition of different kinds of brain pathologies. The system considered emulates the complexity of the standard radiological and neurological recognition, by defining appropriate linguistic variables in accordance with a priori introduced fuzzy rule base.
Czasopismo
Rocznik
Strony
23--32
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
autor
autor
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATD-0001-0051
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