Abstract
Recently, organ illness discovery in which medical image analysis can be used has been researched actively. Though such a research proceeds through the extraction of pulmonary tumors, there is little research on the extraction of liver tumors. This is because there is no difference in concentrated value in the liver CT image of a healthy part and parts with the tumor. In this paper, the extraction method of such liver tumors is proposed. Furthermore, in order to demonstrate the effectiveness of the proposed scheme, we show a simulation example, using real CT image data.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Pages | 801-805 |
| Number of pages | 5 |
| Volume | 2 |
| Publication status | Published - 2001 |
| Externally published | Yes |
| Event | 2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States Duration: 2001 Oct 7 → 2001 Oct 10 |
Other
| Other | 2001 IEEE International Conference on Systems, Man and Cybernetics |
|---|---|
| Country | United States |
| City | Tucson, AZ |
| Period | 01/10/7 → 01/10/10 |
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ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
Cite this
A method to extract liver tumors in CT images using genetic algorithms and neural networks. / Ohta, Eisaku; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio; Yasutomo, Motokatsu.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 2 2001. p. 801-805.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A method to extract liver tumors in CT images using genetic algorithms and neural networks
AU - Ohta, Eisaku
AU - Mitsukura, Yasue
AU - Fukumi, Minoru
AU - Akamatsu, Norio
AU - Yasutomo, Motokatsu
PY - 2001
Y1 - 2001
N2 - Recently, organ illness discovery in which medical image analysis can be used has been researched actively. Though such a research proceeds through the extraction of pulmonary tumors, there is little research on the extraction of liver tumors. This is because there is no difference in concentrated value in the liver CT image of a healthy part and parts with the tumor. In this paper, the extraction method of such liver tumors is proposed. Furthermore, in order to demonstrate the effectiveness of the proposed scheme, we show a simulation example, using real CT image data.
AB - Recently, organ illness discovery in which medical image analysis can be used has been researched actively. Though such a research proceeds through the extraction of pulmonary tumors, there is little research on the extraction of liver tumors. This is because there is no difference in concentrated value in the liver CT image of a healthy part and parts with the tumor. In this paper, the extraction method of such liver tumors is proposed. Furthermore, in order to demonstrate the effectiveness of the proposed scheme, we show a simulation example, using real CT image data.
UR - http://www.scopus.com/inward/record.url?scp=0035726020&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035726020&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0035726020
VL - 2
SP - 801
EP - 805
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
ER -