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.

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 en En | MEDLINE | ID: mdl-36850510

Asunto(s)

Enfermedad de Alzheimer; Disfunción Cognitiva; Humanos; Enfermedad de Alzheimer/diagnóstico por imagen; Disfunción Cognitiva/diagnóstico por imagen; Aprendizaje; Redes Neurales de la Computación; Pruebas Neuropsicológicas

Palabras clave

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

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Screening_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

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