Multi-agent medical image segmentation: A survey.

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 mostly manually processed by human radiologists for diseases detection and monitoring. However, such a procedure is time-consuming and relies on expert judgment.

A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images.

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 common processing methods applied to those images is segmentation, in which an image is divided into a set of regions of interest. Human anatomical complexity and medical image acquisition artifacts make segmentation of medical images very complex.

Assessment of coastal ecosystems vulnerability to pollution: Algiers coast, Algeria.

Coastal areas are frequently influenced by direct and/or indirect multiple anthropogenic pressures, which impacts marine life. Those perturbations may act in a heterogeneous way with a different intensity and are related to the complexity of coastal ecosystems. To visualize all these interactions at a local scale, a methodology inspired from many researches has been implemented in order to search, identify, and classify coastal ecosystems according to their sensitivity to anthropic pressure exerted by coastal cities.

A Cooperative Approach Based on Local Detection of Similarities and Discontinuities for Brain MR Images Segmentation.

This paper introduces a new cooperative multi-agent approach for segmenting brain Magnetic Resonance Images (MRIs). MRIs are manually processed by human radiology experts for the identification of many diseases and the monitoring of their evolution. However, such a task is time-consuming and depends on expert decision, which can be affected by many factors.

[Behavioral and psychological symptoms of dementia in a pilot psychogeriatric unit: management and outcomes].

Background: Behavioral and psychological symptoms in dementia (BPSD) are a major concern. The French government gave a consensual definition of reinforced intermediate-term care units for BPSD within the project "Plan Alzheimer 2008/2012".

Objective: Our aim was to report one of the first experiences of this unit in France.

One-step management of apple-peel atresia.

Purpose: Apple-peel atresia is a rare form of bowel atresia associating proximal jejunal atresia with a typical coil-shaped distal small bowel. Many of the children suffering from this condition are still managed with initial enterostomy followed by delayed anastomosis.

Patients And Method: Between 2000 and 2007, we managed four patients with apple-peel atresia.