Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
31
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Tissue Classification of Coronary Plaque Considering Class Imbalance of Tissues and Actual Distance between Tissues
Kota HIRANOHiroaki KOGANoriaki SUETAKEEiji UCHINO
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Pages 21-24

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Abstract

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.

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© 2018 Biomedical Fuzzy Systems Association
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