Survey on liver CT image segmentation methods
Survey on liver CT image segmentation methods
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DOI：
10.1007/s10462-011-9220-3
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发表时间：
2012-02-01
影响因子：
12
通讯作者：
Mahmood, Rozi Binti
中科院分区：
文献类型：
--
作者：
Mharib, Ahmed M.;Ramli, Abdul Rahman;Mahmood, Rozi Binti
利用计算机断层扫描（CT）数据分割肝脏是医学图像处理领域的一个重要课题。本文综述了基于CT图像的肝脏分割方法和技术，并对近年来的肝脏分割方法进行了评述。通常，肝脏分割方法分为两大类，半自动和全自动方法，在这两类中的每一类下，将定义和解释几种方法，方法，相关问题和问题。给出了肝脏分割的评价指标和评分方法，并对各种肝脏分割方法进行了对比研究，指出了各种方法的优缺点。在本文中，我们得出结论，自动肝脏分割CT图像仍然是一个悬而未决的问题，因为各种弱点和缺点的建议的方法仍然可以解决。
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.