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3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images.
Zeng, Zilong; Zhao, Tengda; Sun, Lianglong; Zhang, Yihe; Xia, Mingrui; Liao, Xuhong; Zhang, Jiaying; Shen, Dinggang; Wang, Li; He, Yong.
Afiliação
  • Zeng Z; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
  • Zhao T; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
  • Sun L; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
  • Zhang Y; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
  • Xia M; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
  • Liao X; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
  • Zhang J; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
  • Shen D; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
  • Wang L; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
  • He Y; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Hum Brain Mapp ; 44(4): 1779-1792, 2023 03.
Article em En | MEDLINE | ID: mdl-36515219
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo Limite: Humans / Infant Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo Limite: Humans / Infant Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China