NDLI: Survey on liver CT image segmentation methods

Content Provider	Springer Nature Link
Author	Mharib, Ahmed M. Ramli, Abdul Rahman Mashohor, Syamsiah Mahmood, Rozi Binti
Copyright Year	2011
Abstract	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.
Starting Page	83
Ending Page	95
Page Count	13
File Format	PDF
ISSN	02692821
Journal	Artificial Intelligence Review
Volume Number	37
Issue Number	2
e-ISSN	15737462
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-04-26
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Liver Segmentation Computed tomography Survey Boundary detection Thresholding Computer Science Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Linguistics and Language

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