A proposed Alzheimer's disease diagnosing system based on clustering and segmentation techniques
Author
Source
Engineering and Technology Journal
Issue
Vol. 36, Issue 2B (28 Feb. 2018), pp.160-165, 6 p.
Publisher
Publication Date
2018-02-28
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
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
American Psychological Association (APA)
Muhammad, Sarah J.. 2018. A proposed Alzheimer's disease diagnosing system based on clustering and segmentation techniques. Engineering and Technology Journal،Vol. 36, no. 2B, pp.160-165.
https://search.emarefa.net/detail/BIM-899567
Modern Language Association (MLA)
Muhammad, Sarah J.. A proposed Alzheimer's disease diagnosing system based on clustering and segmentation techniques. Engineering and Technology Journal Vol. 36, no. 2B (2018), pp.160-165.
https://search.emarefa.net/detail/BIM-899567
American Medical Association (AMA)
Muhammad, Sarah J.. A proposed Alzheimer's disease diagnosing system based on clustering and segmentation techniques. Engineering and Technology Journal. 2018. Vol. 36, no. 2B, pp.160-165.
https://search.emarefa.net/detail/BIM-899567
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 164-165
Record ID
BIM-899567