An extraction method of liver tumors by using genetic algorithms and neural networks

E. Ohta, Yasue Mitsukura, M. Fukumi, N. Akamatsu, M. Yasutomo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recently, internal human organ disorders that medical image analysis can be used to detect is being actively researched. The research have however, concentrated on the extraction of pulmonary tumors. There is therefore, little research being done on the extraction of liver tumors. This is because there is no difference between concentrated values of a healthy part and one with a tumor in liver CT images. 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 languageEnglish
Title of host publicationANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages63-66
Number of pages4
ISBN (Print)1740520610, 9781740520614
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001 - Perth, Australia
Duration: 2001 Nov 182001 Nov 21

Other

Other7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001
CountryAustralia
CityPerth
Period01/11/1801/11/21

Fingerprint

Liver
Tumors
Genetic algorithms
Neural networks
Image analysis

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence

Cite this

Ohta, E., Mitsukura, Y., Fukumi, M., Akamatsu, N., & Yasutomo, M. (2001). An extraction method of liver tumors by using genetic algorithms and neural networks. In ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference (pp. 63-66). [974050] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANZIIS.2001.974050

An extraction method of liver tumors by using genetic algorithms and neural networks. / Ohta, E.; Mitsukura, Yasue; Fukumi, M.; Akamatsu, N.; Yasutomo, M.

ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference. Institute of Electrical and Electronics Engineers Inc., 2001. p. 63-66 974050.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ohta, E, Mitsukura, Y, Fukumi, M, Akamatsu, N & Yasutomo, M 2001, An extraction method of liver tumors by using genetic algorithms and neural networks. in ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference., 974050, Institute of Electrical and Electronics Engineers Inc., pp. 63-66, 7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001, Perth, Australia, 01/11/18. https://doi.org/10.1109/ANZIIS.2001.974050
Ohta E, Mitsukura Y, Fukumi M, Akamatsu N, Yasutomo M. An extraction method of liver tumors by using genetic algorithms and neural networks. In ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference. Institute of Electrical and Electronics Engineers Inc. 2001. p. 63-66. 974050 https://doi.org/10.1109/ANZIIS.2001.974050
Ohta, E. ; Mitsukura, Yasue ; Fukumi, M. ; Akamatsu, N. ; Yasutomo, M. / An extraction method of liver tumors by using genetic algorithms and neural networks. ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference. Institute of Electrical and Electronics Engineers Inc., 2001. pp. 63-66
@inproceedings{17e6ceeff8714d1a9bf1b55c893d28c1,
title = "An extraction method of liver tumors by using genetic algorithms and neural networks",
abstract = "Recently, internal human organ disorders that medical image analysis can be used to detect is being actively researched. The research have however, concentrated on the extraction of pulmonary tumors. There is therefore, little research being done on the extraction of liver tumors. This is because there is no difference between concentrated values of a healthy part and one with a tumor in liver CT images. 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 = "E. Ohta and Yasue Mitsukura and M. Fukumi and N. Akamatsu and M. Yasutomo",
year = "2001",
doi = "10.1109/ANZIIS.2001.974050",
language = "English",
isbn = "1740520610",
pages = "63--66",
booktitle = "ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - An extraction method of liver tumors by using genetic algorithms and neural networks

AU - Ohta, E.

AU - Mitsukura, Yasue

AU - Fukumi, M.

AU - Akamatsu, N.

AU - Yasutomo, M.

PY - 2001

Y1 - 2001

N2 - Recently, internal human organ disorders that medical image analysis can be used to detect is being actively researched. The research have however, concentrated on the extraction of pulmonary tumors. There is therefore, little research being done on the extraction of liver tumors. This is because there is no difference between concentrated values of a healthy part and one with a tumor in liver CT images. 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, internal human organ disorders that medical image analysis can be used to detect is being actively researched. The research have however, concentrated on the extraction of pulmonary tumors. There is therefore, little research being done on the extraction of liver tumors. This is because there is no difference between concentrated values of a healthy part and one with a tumor in liver CT images. 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=35348839948&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35348839948&partnerID=8YFLogxK

U2 - 10.1109/ANZIIS.2001.974050

DO - 10.1109/ANZIIS.2001.974050

M3 - Conference contribution

AN - SCOPUS:35348839948

SN - 1740520610

SN - 9781740520614

SP - 63

EP - 66

BT - ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference

PB - Institute of Electrical and Electronics Engineers Inc.

ER -