Automatic extraction of tumors by using neural computation

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

Research output: Contribution to conferencePaper

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 languageEnglish
Pages2981-2984
Number of pages4
Publication statusPublished - 2001 Jan 1
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States
Duration: 2001 Jul 152001 Jul 19

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'01)
CountryUnited States
CityWashington, DC
Period01/7/1501/7/19

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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    Ichihara, A., Mitsukura, Y., Fukumi, M., Akamatsu, N., & Yasutomo, M. (2001). Automatic extraction of tumors by using neural computation. 2981-2984. Paper presented at International Joint Conference on Neural Networks (IJCNN'01), Washington, DC, United States.