Keywords
Alzheimer's disease, K-mean clustering algorithm, Markov random field
Document Type
Research Paper
Abstract
Alzheimer's-disease (AD) is one of the prevalent diseases that afflict theelderly. The medical field defines Alzheimer is the destruction of brain cells sothat the person loses knowledge and perception, afflict both sexes and is calleddementia. The medical field often suffers from accurate diagnosis and detection ofthe disease in the early stages. This paper presents a diagnostic approach ofAlzheimer based on K-mean clustering algorithm with Markov random fieldsegmentation on Magnetic Reasoning Images (MRI) to build software able to helpthe medical staff identifying and diagnosis the disease. The experimental resultshows that 91% accuracy is achieved, which demonstrate the system's reliabilityin the medical diagnostic environment.
Recommended Citation
Mohammed, Sarah
(2026)
"A Proposed Alzheimer's Disease Diagnosing System Based on Clustering and Segmentation Techniques,"
Engineering and Technology Journal: Vol. 36:
Iss.
2, Article 27.
DOI: https://doi.org/10.30684/etj.36.2B.12
DOI
10.30684/etj.36.2B.12
First Page
160
Last Page
165
