Segmentation of liver computed tomography images using dictionary-based snakes

被引：0

作者：

Shanila, N. ^{[1
]}

Kumar, R. S. Vinod ^{[1
]}

Ravi, R. Ramya ^{[1
]}

机构：

[1] Noorul Islam Ctr Higher Educ, Dept Elect & Commun Engn, Kanyakumari, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2022年 / 39卷 / 03期

关键词：

image processing; liver segmentation; computed tomography; pre-processing; active contour; snakes; dictionary snakes; segmentation; AUTOMATIC LIVER; ACTIVE CONTOURS; 3D SEGMENTATION; GRAPH CUT; CT; DIAGNOSIS; MODEL;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In medical research, segmentation can be used in separating different tissues from each other, through extracting and classifying the features. Segmentation of liver from computed tomography (CT) and magnetic resonance imaging (MRI) is a challenging task. Many image segmentation methods have been used in medical applications. In addition to the briefing of the need, concept and advantages of a few liver segmentation methods, this paper introduces a novel approach for the segmentation of liver computed tomography images using dictionary snakes. The performance of the proposed method is quite satisfactory.

引用

页码：283 / 296

页数：14

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