DocumentCode
2086451
Title
Automatic segmentation of kidney without using contrast medium on abdominal CT images
Author
Yan, Gao ; Boliang, Wang
Author_Institution
Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
Volume
1
fYear
2008
fDate
17-19 Nov. 2008
Firstpage
1242
Lastpage
1246
Abstract
Automatic kidney segmentation from abdominal computed tomography (CT) images is a key step in computer-aided diagnosis for kidney CT. However, due to gray levels similarities of adjacent organ¿s positions and shapes, automatically identifying abdominal organs has always been a high challenging task. In this paper, we proposed an automatic segmentation method integrated some prior knowledge into traditional segmentation methods. Experimental results are comparable to those of manual tracing radiologist and shown to be efficient.
Keywords
computerised tomography; image segmentation; kidney; medical image processing; abdominal CT images; abdominal computed tomography; automatic kidney segmentation; computer-aided diagnosis; Abdomen; Computed tomography; Computer science; Image segmentation; Intelligent systems; Knowledge engineering; Liver; Pancreas; Pathology; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-2196-1
Electronic_ISBN
978-1-4244-2197-8
Type
conf
DOI
10.1109/ISKE.2008.4731120
Filename
4731120
Link To Document