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.
|出版ステータス||Published - 2004 9 29|
|イベント||NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies - Banff, Alta, Canada|
継続期間: 2004 6 27 → 2004 6 30
|Other||NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies|
|Period||04/6/27 → 04/6/30|
ASJC Scopus subject areas
- Computer Science(all)