干旱区生态环境知识资源中心(Arid): The use of artificial neural networks to diagnose Alzheimer's disease from brain images

Arid

DOI	10.1007/s11042-022-13506-7
	The use of artificial neural networks to diagnose Alzheimer's disease from brain images
	Fouladi, Saman; Safaei, Ali A.; Arshad, Noreen Izza; Ebadi, M. J.; Ahmadian, Ali
通讯作者	Ebadi, MJ
来源期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
EISSN	1573-7721
出版年	2022
卷号	81 期号:26 页码:37681-37721
英文摘要	Since Alzheimer's disease (AD) occurs in multiple stages of cognitive impairment, its early diagnosis can be helpful in the process of treatment. Its early diagnosis is thus drawn the attention of researchers and physicians. This study aims to investigate various types of artificial neural networks (ANNs) used to diagnose and predict AD based on brain images of subjects with mild cognitive impairment (MCI). In this study, articles indexed in the IEEE, Springer, Elsevier, and PubMed Central databases were systematically analyzed over the period from 2010 through the first half of 2020. The initial search was done for the keywords Alzheimer's, Magnetic resonance imaging (MRI), and neural network, continued for the keywords Alzheimer's, brain positron emission tomography(PET), and neural network, and ended with the keywords Alzheimer's, brain computed tomography (CT), and neural network. Eventually, the most relevant articles were selected based on the critical evaluation of the subject under investigation. Searching on the subject through the mentioned databases resulted in 900 articles. Excluding unrelated ones, only 134 articles remained, out of which, 54, 41, 35, and 4 numbers were respectively indexed in PubMed Central, Elsevier, Springer, and IEEE databases. The number of studies increased by about 2.5 times from 2016 to 2017 and followed this growing trend at the rate of 2 times by 2018. The number of these studies was increasing up to the first half of 2020. There was a wide use of data from Alzheimer's disease neuroimaging initiative (ADNI) database compared to open access series of imaging studies (OASIS) and other databases by the researchers. MRI images, PET images, and their combination were respectively used in 61%, 21%, and 15% of the researches. This is while only 2% of the studies used CT images, suggestive of their inefficiency compared to other brain imaging techniques in diagnosing AD. Most studies either grouped subjects into Alzheimer's patients and healthy people or classified them under three groups of subjects with Alzheimer's, cognitive impairment, and in good health. However, different stages of cognitive impairment have merely considered in 16% of the studies. The main purpose of all studies was AD classification and diagnosis. Further research should be conducted to classify and diagnose this disease in subjects with MCI. It is recommended to use ADNI as a comprehensive database of images from people with various degrees of cognitive impairment, AD, and health control (HC) in future research.
英文关键词	Alzheimer's disease Artificial neural network Deep learning MRI PET CT Diagnosis
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000841079300002
WOS关键词	MILD COGNITIVE IMPAIRMENT ; DEEP LEARNING-MODEL ; AUTOMATED DETECTION ; DATA AUGMENTATION ; CANCER-TREATMENT ; STRUCTURAL MRI ; CLASSIFICATION ; PREDICTION ; IDENTIFICATION ; CONVOLUTION
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS研究方向	Computer Science ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393827
推荐引用方式 GB/T 7714	Fouladi, Saman,Safaei, Ali A.,Arshad, Noreen Izza,et al. The use of artificial neural networks to diagnose Alzheimer's disease from brain images[J],2022,81(26):37681-37721.
APA	Fouladi, Saman,Safaei, Ali A.,Arshad, Noreen Izza,Ebadi, M. J.,&Ahmadian, Ali.(2022).The use of artificial neural networks to diagnose Alzheimer's disease from brain images.MULTIMEDIA TOOLS AND APPLICATIONS,81(26),37681-37721.
MLA	Fouladi, Saman,et al."The use of artificial neural networks to diagnose Alzheimer's disease from brain images".MULTIMEDIA TOOLS AND APPLICATIONS 81.26(2022):37681-37721.