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 |
|---|---|
| Pages (from-to) | 801-805 |
| Number of pages | 5 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 2 |
| Publication status | Published - 2001 Dec 1 |
| Externally published | Yes |
| Event | 2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States Duration: 2001 Oct 7 → 2001 Oct 10 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture
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Cite this
Ohta, E., Mitsukura, Y., Fukumi, M., Akamatsu, N., & Yasutomo, M. (2001). A method to extract liver tumors in CT images using genetic algorithms and neural networks. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2, 801-805.