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Machine learning to differentiate small round cell malignant tumors and non-small round cell malignant tumors of the nasal and paranasal sinuses using apparent diffusion coefficient values.
Chen, Chen; Qin, Yuhui; Chen, Haotian; Cheng, Junying; He, Bo; Wan, Yixuan; Zhu, Dongyong; Gao, Fabao; Zhou, Xiaoyue.
Afiliação
  • Chen C; Molecular Imaging Laboratory, Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan, 610041, People's Republic of China.
  • Qin Y; Molecular Imaging Laboratory, Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan, 610041, People's Republic of China.
  • Chen H; Molecular Imaging Laboratory, Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan, 610041, People's Republic of China.
  • Cheng J; Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
  • He B; Molecular Imaging Laboratory, Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan, 610041, People's Republic of China.
  • Wan Y; Molecular Imaging Laboratory, Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan, 610041, People's Republic of China.
  • Zhu D; Molecular Imaging Laboratory, Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan, 610041, People's Republic of China.
  • Gao F; Molecular Imaging Laboratory, Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan, 610041, People's Republic of China. gaofabao@wchscu.cn.
  • Zhou X; MR Collaboration, Siemens Healthineers Ltd., Shanghai, People's Republic of China.
Eur Radiol ; 32(6): 3819-3829, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35029732
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Seios Paranasais / Neoplasias Nasais Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Seios Paranasais / Neoplasias Nasais Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article