Three-dimensional image segmentation using tissue-like P system
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...
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my.utm.775012018-11-30T07:09:49Z http://eprints.utm.my/id/eprint/77501/ Three-dimensional image segmentation using tissue-like P system Yahya, Salah I. Yahya, Rafaa I. Al-Salibi, Bisan Al-Khafaji, Ghada K. Shamsuddin, Siti Mariyam Q Science (General) 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 three-dimensional (3D) medical images. Hence, the main contribution of this paper is to propose a tissue-like P system for segmenting 3D medical images. To the best of our knowledge, this is the first work that practically adapts MC for 3D images. Experimental results demonstrate the efficiency of the proposed approach in segmenting 3D images, and it has the potential to be used in real-world applications. Koya University 2017 Article PeerReviewed Yahya, Salah I. and Yahya, Rafaa I. and Al-Salibi, Bisan and Al-Khafaji, Ghada K. and Shamsuddin, Siti Mariyam (2017) Three-dimensional image segmentation using tissue-like P system. ARO-The Scientific Journal Of Koya University, 5 (2). pp. 67-74. ISSN 2410-9355 http://dx.doi.org/10.14500/aro.10316 DOI: 10.14500/aro.10316 |
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Q Science (General) Yahya, Salah I. Yahya, Rafaa I. Al-Salibi, Bisan Al-Khafaji, Ghada K. Shamsuddin, Siti Mariyam Three-dimensional image segmentation using tissue-like P system |
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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 three-dimensional (3D) medical images. Hence, the main contribution of this paper is to propose a tissue-like P system for segmenting 3D medical images. To the best of our knowledge, this is the first work that practically adapts MC for 3D images. Experimental results demonstrate the efficiency of the proposed approach in segmenting 3D images, and it has the potential to be used in real-world applications. |
format |
Article |
author |
Yahya, Salah I. Yahya, Rafaa I. Al-Salibi, Bisan Al-Khafaji, Ghada K. Shamsuddin, Siti Mariyam |
author_facet |
Yahya, Salah I. Yahya, Rafaa I. Al-Salibi, Bisan Al-Khafaji, Ghada K. Shamsuddin, Siti Mariyam |
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Yahya, Salah I. |
title |
Three-dimensional image segmentation using tissue-like P system |
title_short |
Three-dimensional image segmentation using tissue-like P system |
title_full |
Three-dimensional image segmentation using tissue-like P system |
title_fullStr |
Three-dimensional image segmentation using tissue-like P system |
title_full_unstemmed |
Three-dimensional image segmentation using tissue-like P system |
title_sort |
three-dimensional image segmentation using tissue-like p system |
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Koya University |
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2017 |
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http://eprints.utm.my/id/eprint/77501/ http://dx.doi.org/10.14500/aro.10316 |
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