Automatic extraction of tumors by using neural computation

A. Ichihara; Y. Mitsukura; M. Fukumi; N. Akamatsu; M. Yasutomo

Automatic extraction of tumors by using neural computation

A. Ichihara
, Y. Mitsukura
, M. Fukumi
, N. Akamatsu
, M. Yasutomo

Research output: Contribution to conference › Paper › peer-review

Abstract

Automatic extraction of tumors is needed in a medical field. A 3-dimensional image is composed of the sequence of 2-dimensional CT images. The extraction of a liver field is difficult, because the CT images include various internal organs. In this paper, an improved active net is proposed to analyze the information of CT images. It is shown this method has ability as a preprocessing system for extraction of liver tumors.

Original language	English
Pages	2981-2984
Number of pages	4
Publication status	Published - 2001
Externally published	Yes
Event	International Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States Duration: 2001 Jul 15 → 2001 Jul 19

Other

Other	International Joint Conference on Neural Networks (IJCNN'01)
Country/Territory	United States
City	Washington, DC
Period	01/7/15 → 01/7/19

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

@conference{d02e61c0de564848be7968b5df628de3,

title = "Automatic extraction of tumors by using neural computation",

abstract = "Automatic extraction of tumors is needed in a medical field. A 3-dimensional image is composed of the sequence of 2-dimensional CT images. The extraction of a liver field is difficult, because the CT images include various internal organs. In this paper, an improved active net is proposed to analyze the information of CT images. It is shown this method has ability as a preprocessing system for extraction of liver tumors.",

author = "A. Ichihara and Y. Mitsukura and M. Fukumi and N. Akamatsu and M. Yasutomo",

year = "2001",

language = "English",

pages = "2981--2984",

note = "International Joint Conference on Neural Networks (IJCNN'01) ; Conference date: 15-07-2001 Through 19-07-2001",

}

TY - CONF

T1 - Automatic extraction of tumors by using neural computation

AU - Ichihara, A.

AU - Mitsukura, Y.

AU - Fukumi, M.

AU - Akamatsu, N.

AU - Yasutomo, M.

PY - 2001

Y1 - 2001

N2 - Automatic extraction of tumors is needed in a medical field. A 3-dimensional image is composed of the sequence of 2-dimensional CT images. The extraction of a liver field is difficult, because the CT images include various internal organs. In this paper, an improved active net is proposed to analyze the information of CT images. It is shown this method has ability as a preprocessing system for extraction of liver tumors.

AB - Automatic extraction of tumors is needed in a medical field. A 3-dimensional image is composed of the sequence of 2-dimensional CT images. The extraction of a liver field is difficult, because the CT images include various internal organs. In this paper, an improved active net is proposed to analyze the information of CT images. It is shown this method has ability as a preprocessing system for extraction of liver tumors.

UR - https://www.scopus.com/pages/publications/0034850073

UR - https://www.scopus.com/pages/publications/0034850073#tab=citedBy

M3 - Paper

AN - SCOPUS:0034850073

SP - 2981

EP - 2984

T2 - International Joint Conference on Neural Networks (IJCNN'01)

Y2 - 15 July 2001 through 19 July 2001

ER -

Automatic extraction of tumors by using neural computation

Abstract

Other

ASJC Scopus subject areas

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