Author
Mechanical Engineering Department, University of Technology, Baghdad, Iraq
Abstract
Alzheimer's-disease (AD) is one of the prevalent diseases that afflict the
elderly. The medical field defines Alzheimer is the destruction of brain cells so
that the person loses knowledge and perception, afflict both sexes and is called
dementia. The medical field often suffers from accurate diagnosis and detection of
the disease in the early stages. This paper presents a diagnostic approach of
Alzheimer based on K-mean clustering algorithm with Markov random field
segmentation on Magnetic Reasoning Images (MRI) to build software able to help
the medical staff identifying and diagnosis the disease. The experimental result
shows that 91% accuracy is achieved, which demonstrate the system's reliability
in the medical diagnostic environment.
Keywords
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