Vol.11, No.2, May 2022.                                                                                                                                                                                   ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

A Review of Medical Image Techniques and Methods based on a Multi-agent System


Muntadher Talib Nayyef, Nasri Bin Sulaiman, Wan Zuha Wan Hasan, Mohd Amrallah bin Mustafa, Siti Lailatul Binti Mohd Hassan


© 2022 Muntadher Talib Nayyef, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 11, Issue 2, Pages 811-819, ISSN 2217-8309, DOI: 10.18421/TEM112-39, May 2022.


Received: 31 January 2022.

Revised:   02 May 2022.
Accepted: 07 May 2022.
Published: 27 May 2022.




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 the repetitive cycles of the history of AI, we expect to see technology reevaluation that is commonly referred to as 'classical IA' – especially agent and MAS – in the upcoming years. Other than that, agents and multi-agent (MAS) systems are crucial to designing intelligent systems from the start. They can open new possibilities to researchers for explanatory and intelligent systems through their long-term link with logical technology, which is characteristic of its early times. That is why it is now crucial to comprehend the present position of MAS for medical image methods. This paper thus seeks to provide a complete overview by reviewing the MAS and the agent approaches. Two different views are taken and assessed for the resulting technologies: the MAS and the image processing technologies.


Keywords –Intelligent Image processing, multi-agent system, medical image.



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