Embedded Agent for medical image segmentation

被引：0

作者：

Bensag, Hassna ^{[1
]}

Youssfi, Mohamed ^{[1
]}

Bouattane, Omar ^{[1
]}

机构：

[1] Univ Hassan II Casablanca, Lab SSDIA, ENSET Mohammedia, Casablanca, Morocco

来源：

2015 27TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM) | 2015年

关键词：

MAS; JADE; Raspberry PI 2; Segmentation; Cardiac RMI;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In last years, a lot of efforts have been made to deploying the intelligent devices like agent to enjoy their performance. Multi-agent systems (MAS) are simple and strong software suitable for complex and dynamic environment like simulation of economies, societies, biological and others. The aim of this paper is to present a new embedded agent especially for Cardiac Magnetic Resonance Image (MRI) segmentation. With this work, we focused on the first to implement the parallel algorithm of classification using C-means method in embedded systems and on the second to propose a new concept of distributed classification using multi-agent systems based on JADE and Raspberry PI 2 devices.

引用

页码：190 / 193

页数：4

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