主催: バイオメディカル・ファジィ・システム学会
会議名: 第31回バイオメディカル・ファジィ・システム学会
回次: 31
開催地: 金沢
開催日: 2018/11/03 - 2018/11/04
p. 21-24
The main cause of acute coronary syndrome (ACS) is primarily the formation of thrombi due to the destruction of intravascular plaque in the coronary arteries. The plaque is the accumulation of lipids in the inner membrane of blood vessels. The tissue structure determines fragility of plaque. Therefore, for accurate diagnosis of ACS, the characterization of the tissue of the coronary plaque is very important. In this research, we reclassify the tissue at the target point by using class imbalance of tissues and actual distance between tissues using the neighborhood classification results by SVM. The effectiveness of the proposed method has been verified by comparing the classification results of the proposed method with those of the conventional methods, applying to the real data obtained from the human coronary arteries.