Segmentation of the Carotid Artery in Ultrasound Images Using Neural Networks

被引：0

作者：

Menchon-Lara, Rosa-Maria ^{[1
]}

Bastida-Jumilla, M-Consuelo ^{[1
]}

Morales-Sanchez, Juan ^{[1
]}

Verdu-Monedero, Rafael ^{[1
]}

Larrey-Ruiz, Jorge ^{[1
]}

Luis Sancho-Gomez, Jose ^{[1
]}

机构：

[1] Univ Politecn Cartagena, Dpto Tecnol Informac & Comunicac, Cartagena 30202, Murcia, Spain

来源：

NEW CHALLENGES ON BIOINSPIRED APPLICATIONS: 4TH INTERNATIONAL WORK-CONFERENCE ON THE INTERPLAY BETWEEN NATURAL AND ARTIFICIAL COMPUTATION, IWINAC 2011, PART II | 2011年 / 6687卷

关键词：

WALL THICKNESS;

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：

Atherosclerosis is a cardiovascular disease very widespread into population. The intima-media thickness (IMT) is a reliable early indicator of this pathology. The IMT is measured by the doctor using images acquired with a B-scan ultrasound and this fact presents several problems. Image segmentation can detect the IMT throughout the artery length in an automatic way. This paper (1) presents an effective segmentation method based on the use of a neural network ensemble. The obtained results show the ability of the method to extract the IMT contour in ultrasound images.

引用

页码：463 / 471

页数：9

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