干旱区生态环境知识资源中心(Arid): MRI Deep Learning-Based Solution for Alzheimer's Disease Prediction

Arid

DOI	10.3390/jpm11090902
	MRI Deep Learning-Based Solution for Alzheimer's Disease Prediction
	Saratxaga, Cristina L.; Moya, Iratxe; Picon, Artzai; Acosta, Marina; Moreno-Fernandez-de-Leceta, Aitor; Garrote, Estibaliz; Bereciartua-Perez, Arantza
通讯作者	Saratxaga, CL (corresponding author), Basque Res & Technol Alliance BRTA, TECNALIA, Parque Tecnol Bizkaia,C Geldo Edificio 700, Derio 48160, Spain.
来源期刊	JOURNAL OF PERSONALIZED MEDICINE
EISSN	2075-4426
出版年	2021
卷号	11 期号:9
英文摘要	Background: Alzheimer's is a degenerative dementing disorder that starts with a mild memory impairment and progresses to a total loss of mental and physical faculties. The sooner the diagnosis is made, the better for the patient, as preventive actions and treatment can be started. Although tests such as the Mini-Mental State Tests Examination are usually used for early identification, diagnosis relies on magnetic resonance imaging (MRI) brain analysis. Methods: Public initiatives such as the OASIS (Open Access Series of Imaging Studies) collection provide neuroimaging datasets openly available for research purposes. In this work, a new method based on deep learning and image processing techniques for MRI-based Alzheimer's diagnosis is proposed and compared with previous literature works. Results: Our method achieves a balance accuracy (BAC) up to 0.93 for image-based automated diagnosis of the disease, and a BAC of 0.88 for the establishment of the disease stage (healthy tissue, very mild and severe stage). Conclusions: Results obtained surpassed the state-of-the-art proposals using the OASIS collection. This demonstrates that deep learning-based strategies are an effective tool for building a robust solution for Alzheimer's-assisted diagnosis based on MRI data.
英文关键词	deep learning classification Alzheimer's MRI OASIS
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000699575400001
WOS关键词	OPEN ACCESS SERIES ; STRUCTURAL MRI ; DIAGNOSIS ; CLASSIFICATION ; SCALE ; YOUNG ; SIZE
WOS类目	Health Care Sciences & Services ; Medicine, General & Internal
WOS研究方向	Health Care Sciences & Services ; General & Internal Medicine
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363979
作者单位	[Saratxaga, Cristina L.; Picon, Artzai; Garrote, Estibaliz; Bereciartua-Perez, Arantza] Basque Res & Technol Alliance BRTA, TECNALIA, Parque Tecnol Bizkaia,C Geldo Edificio 700, Derio 48160, Spain; [Moya, Iratxe; Acosta, Marina; Moreno-Fernandez-de-Leceta, Aitor] Inst Ibermat Innovac, Unidad Inteligencia Artificial Ave Huetos, Edificio Azucarera, Vitoria 01010, Spain; [Garrote, Estibaliz] Univ Basque Country, Fac Med & Dent, Dept Cell Biol & Histol, Leioa 48940, Spain
推荐引用方式 GB/T 7714	Saratxaga, Cristina L.,Moya, Iratxe,Picon, Artzai,et al. MRI Deep Learning-Based Solution for Alzheimer's Disease Prediction[J],2021,11(9).
APA	Saratxaga, Cristina L..,Moya, Iratxe.,Picon, Artzai.,Acosta, Marina.,Moreno-Fernandez-de-Leceta, Aitor.,...&Bereciartua-Perez, Arantza.(2021).MRI Deep Learning-Based Solution for Alzheimer's Disease Prediction.JOURNAL OF PERSONALIZED MEDICINE,11(9).
MLA	Saratxaga, Cristina L.,et al."MRI Deep Learning-Based Solution for Alzheimer's Disease Prediction".JOURNAL OF PERSONALIZED MEDICINE 11.9(2021).