Embedded agent for medical image segmentation

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.