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MRI (Magnetic Resonance Imaging) is a popular medical imaging technique that uses a powerful magnetic field, radio waves, and a computer to produce detailed images of the internal structures of the body. MRI can be used to image a wide range of body parts, including the brain, spinal cord, joints, and organs.
Get efficient and quality mri imaging services from Radblox, a globally acknowledged teleradiology provider to hospitals, at the best price.
Development of Diagnostic System for Brain MRI Scanning Based on Robust Information Clustering
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,
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
paper publication for engineering, engineering journal, ugc approved journals for engineering
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.
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