During the last decades, the healthcare area has increasingly relied on medical imaging for
the diagnosis of a growing number of pathologies. The different types of medical images are …

Image segmentation techniques have been an invaluable task in many domains such as
quantification of tissue volumes, medical diagnosis, anatomical structure study, treatment …

The optimal segmentation of medical images remains important for promoting the intensive
use of automatic approaches in decision making, disease diagnosis, and facilitating the …

According to functional or anatomical modalities, medical imaging provides a visual
representation of complex structures or activities in the human body. One of the most …

In this paper, we propose an approach for medical Image segmentation based on a FIPA
compliant multi-agent system. The idea consists in merging the regions following several …

Image understanding needs to image analysis accurately in medical image engineering.
Since segmentation is an effective and fundamental step in the medical image analysis …

Sažetak In this paper, we present a solution-based cooperation approach for strengthening
the image segmentation. This paper proposes a cooperative method relying on Multi-Agent …

A novel multi-agent image interpretation system has been developed which is markedly
different from previous approaches in especially its elaborate high-level knowledge-based …

The purpose of the paper is to discuss the potential of a multi-agent approach for low-level
image analysis. The work is based on the assumption that low-level processings should be …

Multi-agent technology has been considered as an important approach for developing
distributed intelligent systems analyzing computed tomography (CT). Due to the important …