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

E. Ohta; Y. Mitsukura; M. Fukumi; N. Akamatsu; M. Yasutomo

doi:10.1109/ANZIIS.2001.974050

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	63-66
Number of pages	4
ISBN (Electronic)	1740520610, 9781740520614
DOIs	https://doi.org/10.1109/ANZIIS.2001.974050
Publication status	Published - 2001 Jan 1
Externally published	Yes
Event	7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001 - Perth, Australia Duration: 2001 Nov 18 → 2001 Nov 21

Publication series

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

Other

Other	7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001
Country/Territory	Australia
City	Perth
Period	01/11/18 → 01/11/21

ASJC Scopus subject areas

Information Systems
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ANZIIS.2001.974050

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). Article 974050 (ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference). 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, Y.; Fukumi, M. et al.
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 (ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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, ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference, 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. (ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference). doi: 10.1109/ANZIIS.2001.974050

Ohta, E. ; Mitsukura, Y. ; Fukumi, M. et al. / 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 (ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference).

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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.",

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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.

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

Abstract

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ASJC Scopus subject areas

UN SDGs

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