Survey on liver CT image segmentation methods.

The segmentation of liver using computed tomography (CT) data has gained a lot of importance in the medical image processing field. In this paper, we present a survey on liver segmentation methods and techniques using CT images, recent methods presented in the literature to obtain liver segmentation...

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Main Authors: Ramli, Abdul Rahman, Mahmud, Rozi, Mashohor, Syamsiah, Mharib, Ahmed M.
Format: Article
Language:English
English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/23431/
http://psasir.upm.edu.my/id/eprint/23431/1/Survey%20on%20liver%20CT%20image%20segmentation%20methods.pdf
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author Ramli, Abdul Rahman
Mahmud, Rozi
Mashohor, Syamsiah
Mharib, Ahmed M.
author_facet Ramli, Abdul Rahman
Mahmud, Rozi
Mashohor, Syamsiah
Mharib, Ahmed M.
author_sort Ramli, Abdul Rahman
building UPM Institutional Repository
collection Online Access
description The segmentation of liver using computed tomography (CT) data has gained a lot of importance in the medical image processing field. In this paper, we present a survey on liver segmentation methods and techniques using CT images, recent methods presented in the literature to obtain liver segmentation are viewed. Generally, liver segmentation methods are divided into two main classes, semi-automatic and fully automatic methods, under each of these two categories, several methods, approaches, related issues and problems will be defined and explained. The evaluation measurements and scoring for the liver segmentation are shown, followed by the comparative study for liver segmentation methods, pros and cons of methods will be accentuated carefully. In this paper, we concluded that automatic liver segmentation using CT images is still an open problem since various weaknesses and drawbacks of the proposed methods can still be addressed.
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spelling upm-234312015-10-30T06:53:20Z http://psasir.upm.edu.my/id/eprint/23431/ Survey on liver CT image segmentation methods. Ramli, Abdul Rahman Mahmud, Rozi Mashohor, Syamsiah Mharib, Ahmed M. The segmentation of liver using computed tomography (CT) data has gained a lot of importance in the medical image processing field. In this paper, we present a survey on liver segmentation methods and techniques using CT images, recent methods presented in the literature to obtain liver segmentation are viewed. Generally, liver segmentation methods are divided into two main classes, semi-automatic and fully automatic methods, under each of these two categories, several methods, approaches, related issues and problems will be defined and explained. The evaluation measurements and scoring for the liver segmentation are shown, followed by the comparative study for liver segmentation methods, pros and cons of methods will be accentuated carefully. In this paper, we concluded that automatic liver segmentation using CT images is still an open problem since various weaknesses and drawbacks of the proposed methods can still be addressed. 2012 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23431/1/Survey%20on%20liver%20CT%20image%20segmentation%20methods.pdf Ramli, Abdul Rahman and Mahmud, Rozi and Mashohor, Syamsiah and Mharib, Ahmed M. (2012) Survey on liver CT image segmentation methods. Artificial Intelligence Review, 37 (2). pp. 83-95. ISSN 0269-2821 10.1007/s10462-011-9220-3 English
spellingShingle Ramli, Abdul Rahman
Mahmud, Rozi
Mashohor, Syamsiah
Mharib, Ahmed M.
Survey on liver CT image segmentation methods.
title Survey on liver CT image segmentation methods.
title_full Survey on liver CT image segmentation methods.
title_fullStr Survey on liver CT image segmentation methods.
title_full_unstemmed Survey on liver CT image segmentation methods.
title_short Survey on liver CT image segmentation methods.
title_sort survey on liver ct image segmentation methods.
url http://psasir.upm.edu.my/id/eprint/23431/
http://psasir.upm.edu.my/id/eprint/23431/
http://psasir.upm.edu.my/id/eprint/23431/1/Survey%20on%20liver%20CT%20image%20segmentation%20methods.pdf