Detectioning of an asynergy using the neural network

Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Motokatsu Yasutomo, Yasue Mitsukura

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

Abstract

Recently in medical fields, various imaging diagnostic technologies have been studied and used in practical. It is necessary to develop an automatic diagnosing processing system for detecting and diagnosing the internal organs. By the way, cardiac disease is one of the most common cause of death. Therefore, it is necessary to measure cardiac function quantitatively. The processing images are X-ray photograms of the left ventricle by cardiac catheterization. In this paper, we propose the detection system of asynergy in the left ventricle by using a neural network. Furtheremore, in order to demonstrate the effectiveness of the proposed method, we show the simulation example by using the real data.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet
Pages87-91
Number of pages5
Volume2
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005 - Vienna, Austria
Duration: 2005 Nov 282005 Nov 30

Other

OtherInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005
CountryAustria
CityVienna
Period05/11/2805/11/30

Fingerprint

Image processing
Neural networks
Imaging techniques
X rays
Processing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Mitsukura, K., Fukumi, M., Akamatsu, N., Yasutomo, M., & Mitsukura, Y. (2005). Detectioning of an asynergy using the neural network. In Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet (Vol. 2, pp. 87-91). [1631450]

Detectioning of an asynergy using the neural network. / Mitsukura, Kensuke; Fukumi, Minoru; Akamatsu, Norio; Yasutomo, Motokatsu; Mitsukura, Yasue.

Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet. Vol. 2 2005. p. 87-91 1631450.

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

Mitsukura, K, Fukumi, M, Akamatsu, N, Yasutomo, M & Mitsukura, Y 2005, Detectioning of an asynergy using the neural network. in Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet. vol. 2, 1631450, pp. 87-91, International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005, Vienna, Austria, 05/11/28.
Mitsukura K, Fukumi M, Akamatsu N, Yasutomo M, Mitsukura Y. Detectioning of an asynergy using the neural network. In Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet. Vol. 2. 2005. p. 87-91. 1631450
Mitsukura, Kensuke ; Fukumi, Minoru ; Akamatsu, Norio ; Yasutomo, Motokatsu ; Mitsukura, Yasue. / Detectioning of an asynergy using the neural network. Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet. Vol. 2 2005. pp. 87-91
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