A method to extract liver tumors in CT images using genetic algorithms and neural networks

Eisaku Ohta; Yasue Mitsukura; Minoru Fukumi; Norio Akamatsu; Motokatsu Yasutomo

A method to extract liver tumors in CT images using genetic algorithms and neural networks

Eisaku Ohta, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Motokatsu Yasutomo

Research output: Contribution to journal › Conference article › peer-review

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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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.

In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, 01.12.2001, p. 801-805.

Research output: Contribution to journal › Conference article › peer-review

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AU - Yasutomo, Motokatsu

PY - 2001/12/1

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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.

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