ASSOMの血管内超音波信号への応用とそれによる組織のクラス分類(一般講演G,生体信号解析)

概要

論文の詳細を見る
Tissue classification of a plaque is important for a diagnosis of the acute coronary syndromes. The conventional method however can not perform good classification, because the characteristics of some types of tissues have similar features with others. In this paper, we propose a novel feature extraction and classification method for intravascular ultrasound (IVUS) signal by using an adaptive subspace self-organizing map (ASSOM). In the proposed method, a tissue is classified by considering the statistical information of feature vectors acquired by ASSOM. The validity and the effectiveness of the proposed method are verified by applying it to the tissue classification problem of the real IVUS data.
バイオメディカル・ファジィ・システム学会の論文
2008-10-11