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A model based on clinico-biochemical characteristics and deep learning features from MR images for assessing necroinflammatory activity in chronic hepatitis B.
Zhang, Shuaitong; Chen, Zhiyuan; Wei, Jingwei; Chi, Xiaoling; Zhou, Dongjing; Ouyang, Shuman; Peng, Jing; Xiao, Huanming; Tian, Jie; Liu, Yupin.
Afiliação
  • Zhang S; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China.
  • Chen Z; Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China.
  • Wei J; School of Engineering Medicine, Beihang University, Beijing, China.
  • Chi X; Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Zhou D; Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China.
  • Ouyang S; Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Peng J; Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Xiao H; Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Tian J; Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Liu Y; Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
J Viral Hepat ; 28(11): 1656-1659, 2021 11.
Article em En | MEDLINE | ID: mdl-34312951

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatite B Crônica / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Viral Hepat Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatite B Crônica / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Viral Hepat Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China