DocumentCode :
1748977
Title :
Automatic extraction of tumors by using neural computation
Author :
Ichihara, A. ; Mitsukura, Y. ; Fukumi, M. ; Akamatsu, N. ; Yasutomo, M.
Author_Institution :
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
2981
Abstract :
Automatic extraction of tumors is needed in a medical field. A 3D image is composed of the sequence of 2D CT images. The extraction of a liver field is difficult, because the CT images include various internal organs. In this paper, an improved active net is proposed to analyze the information of CT images. It is shown this method has the ability as a pre-processing system for extraction of liver tumors
Keywords :
computerised tomography; feature extraction; image sequences; medical image processing; neural nets; stereo image processing; tumours; 2D CT images; 3D images; computerised tomography; feature extraction; image sequences; neural networks; tumors; Biomedical imaging; Computed tomography; Computer simulation; Data mining; Image segmentation; Information science; Liver neoplasms; Lung neoplasms; Pixel; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-7044-9
Type :
conf
DOI :
10.1109/IJCNN.2001.938852
Filename :
938852
Link To Document :
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