Classification of brain diseases using MRI texture - Al-Raziqi, Ali;Al-Badarneh, Amer;Najadat, Hassen
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Magnetic Resonance Imaging (MRI) is a medical imaging technique used to visualize and distinguish the internal structure of different tissues of the body. The classification of Magnetic Resonance Imaging (MRI) brain images is important to prune the normal patient and to consider only those who have the possibility of having abnormalities. The traditional method for detecting the diseases of human brain in MRI images is done manually by physicians. The manual method faces many problems that can lead to increase the prevalence of more serious diseases. The accurate diagnosis of the brain MRI is…mehr

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Produktbeschreibung
Magnetic Resonance Imaging (MRI) is a medical imaging technique used to visualize and distinguish the internal structure of different tissues of the body. The classification of Magnetic Resonance Imaging (MRI) brain images is important to prune the normal patient and to consider only those who have the possibility of having abnormalities. The traditional method for detecting the diseases of human brain in MRI images is done manually by physicians. The manual method faces many problems that can lead to increase the prevalence of more serious diseases. The accurate diagnosis of the brain MRI is not always easy, and takes long time. Thus, address these problems by creating automatic techniques that helps the physicians to make the right decision.
Autorenporträt
The first Author got M.S in Computer Science from Jordan University of Science and Technology in May 2012. He received his B.Sc. in computer Science from Hashemite University in June 2008. He is currently pursuing his PhD at Jena University - Germany. His research interests include: MRI Classification, Machine Learning, Images and Video Processing.