A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification.

Lin, Lan; Xiong, Min; Zhang, Ge; Kang, Wenjie; Sun, Shen; Wu, Shuicai

Lin, Lan; Xiong, Min; Zhang, Ge; Kang, Wenjie; Sun, Shen; Wu, Shuicai.

Affiliation

Lin L; Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Xiong M; Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Zhang G; Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Kang W; Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Sun S; Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Wu S; Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Initiative Alzheimer's Disease Neuroimaging; Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel) ; 23(4)2023 Feb 08.

Article in En | MEDLINE | ID: mdl-36850510

Subject(s)

Alzheimer Disease; Cognitive Dysfunction; Humans; Alzheimer Disease/diagnostic imaging; Cognitive Dysfunction/diagnostic imaging; Learning; Neural Networks, Computer; Neuropsychological Tests

Key words

Alzheimer's disease; deep learning; graph convolutional networks; neuroimaging

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Cognitive Dysfunction Type of study: Screening_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: China

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