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Convolutional Neural Networks for Classification of T2DM Cognitive Impairment Based on Whole Brain Structural Features.
Tan, Xin; Wu, Jinjian; Ma, Xiaomeng; Kang, Shangyu; Yue, Xiaomei; Rao, Yawen; Li, Yifan; Huang, Haoming; Chen, Yuna; Lyu, Wenjiao; Qin, Chunhong; Li, Mingrui; Feng, Yue; Liang, Yi; Qiu, Shijun.
Affiliation
  • Tan X; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Wu J; Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Ma X; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Kang S; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Yue X; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Rao Y; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Li Y; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Huang H; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Chen Y; Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Lyu W; Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Qin C; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Li M; Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Feng Y; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Liang Y; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Qiu S; Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Front Neurosci ; 16: 926486, 2022.
Article de En | MEDLINE | ID: mdl-35928014
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Front Neurosci Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Front Neurosci Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse