干旱区生态环境知识资源中心(Arid): RETRACTED: Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease-Based Neurodegenerative Disorders (Retracted Article)

Arid

DOI	10.1155/2022/9092289
	RETRACTED: Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease-Based Neurodegenerative Disorders (Retracted Article)
	Gupta, Suneet; Saravanan, V.; Choudhury, Amarendranath; Alqahtani, Abdullah; Abonazel, Mohamed R.; Babu, K. Suresh
通讯作者	Saravanan, V
来源期刊	COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
ISSN	1748-670X
EISSN	1748-6718
出版年	2022
卷号	2022
英文摘要	Alzheimer's disease is incurable at the moment. If it can be appropriately diagnosed, the correct treatment can postpone the patient's illness. To aid in the diagnosis of Alzheimer's disease and to minimize the time and expense associated with manual diagnosis, a machine learning technique is employed, and a transfer learning method based on 3D MRI data is proposed. Machine learning algorithms can dramatically reduce the time and effort required for human treatment of Alzheimer's disease. This approach extracts bottleneck features from the M-Net migration network and then adds a top layer to supervised training to further decrease the dimensionality and delete portions. As a consequence, the transfer network presented in this study has several advantages in terms of computational efficiency and training time savings when used as a machine learning approach for AD-assisted diagnosis. Finally, the properties of all subject slices are combined and trained in the classification layer, completing the categorization of Alzheimer's disease symptoms and standard control. The results show that this strategy has a 1.5 percentage point better classification accuracy than the one that relies exclusively on VGG16 to extract bottleneck features. This strategy could cut the time it takes for the network to learn and improve its ability to classify things. The experiment shows that the method works by using data from OASIS. A typical transfer learning network's classification accuracy is about 8% better with this method than with a typical network, and it takes about 1/60 of the time with this method.
类型	Article ; Retracted Publication
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000807791200007
WOS类目	Mathematical & Computational Biology
WOS研究方向	Mathematical & Computational Biology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392177
推荐引用方式 GB/T 7714	Gupta, Suneet,Saravanan, V.,Choudhury, Amarendranath,et al. RETRACTED: Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease-Based Neurodegenerative Disorders (Retracted Article)[J],2022,2022.
APA	Gupta, Suneet,Saravanan, V.,Choudhury, Amarendranath,Alqahtani, Abdullah,Abonazel, Mohamed R.,&Babu, K. Suresh.(2022).RETRACTED: Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease-Based Neurodegenerative Disorders (Retracted Article).COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2022.
MLA	Gupta, Suneet,et al."RETRACTED: Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease-Based Neurodegenerative Disorders (Retracted Article)".COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022(2022).