干旱区生态环境知识资源中心(Arid): Transfer Learning Assisted Classification and Detection of Alzheimer's Disease Stages Using 3D MRI Scans

Arid

DOI	10.3390/s19112645
	Transfer Learning Assisted Classification and Detection of Alzheimer's Disease Stages Using 3D MRI Scans
	Maqsood, Muazzam 1; Nazir, Faria 2; Khan, Umair 1; Aadil, Farhan 1; Jamal, Habibullah 3; Mehmood, Irfan 4; Song, Oh-young 5
通讯作者	Song, Oh-young
来源期刊	SENSORS
EISSN	1424-8220
出版年	2019
卷号	19 期号:11
英文摘要	Alzheimer's disease effects human brain cells and results in dementia. The gradual deterioration of the brain cells results in disability of performing daily routine tasks. The treatment for this disease is still not mature enough. However, its early diagnosis may allow restraining the spread of disease. For early detection of Alzheimer's through brain Magnetic Resonance Imaging (MRI), an automated detection and classification system needs to be developed that can detect and classify the subject having dementia. These systems also need not only to classify dementia patients but to also identify the four progressing stages of dementia. The proposed system works on an efficient technique of utilizing transfer learning to classify the images by fine-tuning a pre-trained convolutional network, AlexNet. The architecture is trained and tested over the pre-processed segmented (Grey Matter, White Matter, and Cerebral Spinal Fluid) and un-segmented images for both binary and multi-class classification. The performance of the proposed system is evaluated over Open Access Series of Imaging Studies (OASIS) dataset. The algorithm showed promising results by giving the best overall accuracy of 92.85% for multi-class classification of un-segmented images.
英文关键词	Alzheimer's Detection AlexNet ImageNet transfer learning contrast stretching K-Mean clustering
类型	Article
语种	英语
国家	Pakistan ; England ; South Korea
开放获取类型	Green Submitted, Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000472133300223
WOS关键词	FEATURE-RANKING ; DIAGNOSIS ; IMAGES ; ADNI
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218842
作者单位	1.COMSATS Univ Islamabad, Dept Comp Sci, Attock Campus, Attock 43600, Pakistan; 2.Capital Univ Sci & Technol, Dept Comp Sci, Islamabad 45750, Pakistan; 3.Ghulam Ishaq Khan Inst, Fac Engn Sci, Topi 23460, Pakistan; 4.Univ Bradford, Fac Engn & Informat, Dept Media Design & Technol, Bradford BD7 1DP, W Yorkshire, England; 5.Sejong Univ, Dept Software, Seoul 05006, South Korea
推荐引用方式 GB/T 7714	Maqsood, Muazzam,Nazir, Faria,Khan, Umair,et al. Transfer Learning Assisted Classification and Detection of Alzheimer's Disease Stages Using 3D MRI Scans[J],2019,19(11).
APA	Maqsood, Muazzam.,Nazir, Faria.,Khan, Umair.,Aadil, Farhan.,Jamal, Habibullah.,...&Song, Oh-young.(2019).Transfer Learning Assisted Classification and Detection of Alzheimer's Disease Stages Using 3D MRI Scans.SENSORS,19(11).
MLA	Maqsood, Muazzam,et al."Transfer Learning Assisted Classification and Detection of Alzheimer's Disease Stages Using 3D MRI Scans".SENSORS 19.11(2019).