Discrimination and conversion prediction of mild cognitive impairment using convolutional neural networks.

Wu, Congling; Guo, Shengwen; Hong, Yanjia; Xiao, Benheng; Wu, Yupeng; Zhang, Qin

Wu, Congling; Guo, Shengwen; Hong, Yanjia; Xiao, Benheng; Wu, Yupeng; Zhang, Qin.

Afiliação

Wu C; Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
Guo S; Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
Hong Y; Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
Xiao B; Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
Wu Y; Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
Zhang Q; Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.

Quant Imaging Med Surg ; 8(10): 992-1003, 2018 Nov.

Article em En | MEDLINE | ID: mdl-30598877

Palavras-chave

Mild cognitive impairment (MCI); classification; conversion risk prediction; deep convolutional neural network (deep CNN); transfer learning

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China

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