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 :
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