Automatic Plaque Boundary Extraction in Intravascular Ultrasound Image by Fuzzy Inference with Adaptively Allocated Membership Functions

被引：0

作者：

Uchino, Eiji ^{[1
]}

Suetake, Noriaki ^{[1
]}

Koga, Takanori ^{[1
]}

Ichiyama, Shohei ^{[1
]}

Hashimoto, Genta ^{[2
]}

Hiro, Takafumi ^{[2
]}

Matsuzaki, Masunori ^{[2
]}

机构：

[1] Yamaguchi Univ, Grad Sch Sci & Engn, 1677-1 Yoshida, Yamaguchi 7538512, Japan

[2] Yamaguchi Univ, Grad Sch Med, Yamaguchi 7558505, Japan

来源：

ADVANCES IN NEURO-INFORMATION PROCESSING, PT II | 2009年 / 5507卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes an automatic plaque boundary extraction in the intravascular ultrasound image by a fuzzy inference. In the proposed method, the membership functions in the antecedent parts of the fuzzy rules are adaptively allocated by using the information of the seed points given by a medical doctor. The present method not only improved the accuracy of plaque boundary extraction but also reduced the workload of medical doctors.

引用

页码：583 / +

页数：2

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