Title: Advanced brain imaging based on game theory for an automated Alzheimer diagnosis

Authors: Hanane Allioui; Mohamed Sadgal; Aziz Elfazziki

Addresses: Faculty of Sciences Semlalia, Computer Science Department, Cadi Ayyad University, Marrakech BP, 2390, Morocco ' Faculty of Sciences Semlalia, Computer Science Department, Cadi Ayyad University, Marrakech BP, 2390, Morocco ' Faculty of Sciences Semlalia, Computer Science Department, Cadi Ayyad University, Marrakech BP, 2390, Morocco

Abstract: This paper presents an advanced Alzheimer's disease (AD) diagnosis by ensuring cooperative segmentation based on a powerful multi-agent system (MAS). This approach builds on the strengths of MAS by highlighting the importance of cooperation between the methods used and the strong capacity of agents to negotiate, resolve cases of ambiguity and make decisions by adopting the Pareto optimal (PO) of game theory. The results obtained demonstrate the reliability and effectiveness of our method.

Keywords: MAS; multi-agent system; image segmentation; game theory; AD; Alzheimer disease; healthcare.

DOI: 10.1504/IJHTM.2020.116801

International Journal of Healthcare Technology and Management, 2020 Vol.18 No.1/2, pp.1 - 21

Received: 02 Nov 2019
Accepted: 29 May 2020
Published online: 02 Aug 2021 *

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