2017
DOI: 10.14500/aro.10316
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Three-dimensional Image Segmentation using Tissue-like P System

Abstract: Abstract-Membrane computing (MC), which abstracts computational models from the structure and functioning of biological cells or population of cells in tissues, has served as a rich framework for handling many problems. Various types of P systems have been proposed in the literature to perform edge-based and region-based segmentation of two-dimensional digital images. However, less attention has been paid to the segmentation of threedimensional (3D) medical images. Hence, the main contribution of this paper is… Show more

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Cited by 2 publications
(2 citation statements)
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“…Yahya et al [172] proposed in 2015 a region-based method based on tissue P systems for 2D image segmentation. More recently, Yahya et al have also presented a model for 3D image segmentation by using tissue-like P systems [176] and have used the Jaccard index method [89,90] to measure the accuracy of the 2D segmentation in [175].…”
Section: Region-based Segmentation Methodsmentioning
confidence: 99%
“…Yahya et al [172] proposed in 2015 a region-based method based on tissue P systems for 2D image segmentation. More recently, Yahya et al have also presented a model for 3D image segmentation by using tissue-like P systems [176] and have used the Jaccard index method [89,90] to measure the accuracy of the 2D segmentation in [175].…”
Section: Region-based Segmentation Methodsmentioning
confidence: 99%
“…Projects and initiatives swept through Arab cities, broke the barrier of fear imposed by the security services, and turned Arab cities into daily arenas of protest, where citizens asserted the right to participation and claimed civil, political, and economic rights and beyond. 33…”
Section: The Arab Uprisings and Democratic Exceptionalismmentioning
confidence: 99%