Abstract

Brain problem has led to the death of many people in our society. The causes of brain problem are hard drugs, taking Indian hem, accidents and not having a good identifying machine that could scan and identify this problem fast before it could be worst. This can be overcome by development of diagnostic system for brain MRI scanning based on robust information clustering. This is done by designing a membership function that would analyze the symptoms in the brain, designing a rule that enhances the diagnosization of the brain symptoms, training these rules in ANN to enhance the efficiency of the diagnosization, designing an intelligent sensor for brain MRI scanning based on robust information clustering, designing a visual basic for development of diagnostic system for brain MRI Scanning based on robust information clustering and designing a Simulink model for development of diagnostic system for brain MRI scanning based on robust information clustering. The result obtained shows that using robust information gives faster identification of problem in the brain than any other conventional one. by Chineke Amaechi Hyacenth | Aneke Israel Chinagolum | Udeh Chukwuma Callistus ""Development of Diagnostic System for Brain MRI Scanning Based on Robust Information Clustering"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23184.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23184/development-of-diagnostic-system-for-brain-mri-scanning-based-on-robust-information-clustering/chineke-amaechi-hyacenth

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