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

Cite this

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title = "A method to extract liver tumors in CT images using genetic algorithms and neural networks",

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.",

author = "Eisaku Ohta and Yasue Mitsukura and Minoru Fukumi and Norio Akamatsu and Motokatsu Yasutomo",

year = "2001",

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day = "1",

language = "English",

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pages = "801--805",

journal = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2001 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 07-10-2001 Through 10-10-2001",

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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 - 2001/12/1

Y1 - 2001/12/1

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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M3 - Conference article

AN - SCOPUS:0035726020

VL - 2

SP - 801

EP - 805

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SN - 0884-3627

T2 - 2001 IEEE International Conference on Systems, Man and Cybernetics

Y2 - 7 October 2001 through 10 October 2001

ER -

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

Abstract

ASJC Scopus subject areas

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