H Allioui, M Sadgal, A Elfazziki - Journal of Ambient Intelligence and …, 2021 - Springer
The optimal segmentation of medical images remains important for promoting the intensive use of automatic approaches in decision making, disease diagnosis, and facilitating the …
MT Nayyef, NB Sulaiman, WZW Hasan, MA bin Mustafa… - TEM Journal, 2022 - ceeol.com
In cases where the success of artificial intelligence (AI) approaches is more focused on the multi-agent system (MAS) than those that may make AI understandable to humans, in light of …
H Allioui, M Sadgal, A El Fazziki - Journal of communications software …, 2020 - hrcak.srce.hr
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 …
H Allioui, M Sadgal, A Elfazziki - Evolutionary Intelligence, 2021 - Springer
Over decades Alzheimer's disease (AD) researches presented increasing challenges. However, various methods were proposed to detect AD including image processing. This …
Z Hadjadj - Multimedia Tools and Applications, 2023 - Springer
Brain tumor segmentation from 2D Magnetic Resonance Images (MRI) is an important task for several applications in the field of medical analysis. Commonly, this task is performed …
This paper introduces a new cooperative multi-agent approach for segmenting brain Magnetic Resonance Images (MRIs). MRIs are manually processed by human radiology …
H Allioui, M Sadgal, A Elfazziki - International Journal of …, 2020 - inderscienceonline.com
This paper presents an advanced Alzheimer's disease (AD) diagnosis by ensuring cooperative segmentation based on a powerful multi-agent system (MAS). This approach …