Intelligent medical diagnosis system using the fuzzy and neural networks

Yasue Mitsukura, Kayoko Miyata, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Witold Pedrycz

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Recently in the world, various imaging diagnostic technologies are studied and used in practical. It is necessary to develop the automatic diagnosing processing system for detecting the internal organ. By the way, in Japan cardiac disease is one of the most common cause of death. Therefore, it is necessary to measure cardiac function quantitatively and evaluate the motions of continuous cardiac muscle. Moreover, we propose the developing the system to detect the asynergy in the left ventricle. The processing images are X-ray photograms of the left ventricle by cardiac catheterization. In this paper, we propose the detection system of the asynergy in the left ventricle by using neural networks and the fuzzy inference. Furtheremore, in order to show the effectiveness of the proposed method, we show the simulation example by using the real data.

Original languageEnglish
Pages550-554
Number of pages5
Publication statusPublished - 2004 Sep 29
Externally publishedYes
EventNAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies - Banff, Alta, Canada
Duration: 2004 Jun 272004 Jun 30

Other

OtherNAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies
CountryCanada
CityBanff, Alta
Period04/6/2704/6/30

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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    Mitsukura, Y., Miyata, K., Mitsukura, K., Fukumi, M., Akamatsu, N., & Pedrycz, W. (2004). Intelligent medical diagnosis system using the fuzzy and neural networks. 550-554. Paper presented at NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies, Banff, Alta, Canada.