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Deep Learning-Enabled Identification of Autoimmune Encephalitis on 3D Multi-Sequence MRI.
Xiang, Yayun; Zeng, Chun; Liu, Baiyun; Tan, Weixiong; Wu, Jiangfen; Hu, Xiaofei; Han, Yongliang; Luo, Qi; Gong, Junwei; Liu, Junhang; Li, Yongmei.
Afiliación
  • Xiang Y; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Zeng C; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Liu B; Infervision, Beijing, China.
  • Tan W; Infervision, Beijing, China.
  • Wu J; Infervision, Beijing, China.
  • Hu X; Department of Radiology, The Southwest Hospital of AMU, Chongqing, China.
  • Han Y; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Luo Q; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Gong J; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Liu J; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Li Y; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
J Magn Reson Imaging ; 55(4): 1082-1092, 2022 Apr.
Article en En | MEDLINE | ID: mdl-34478565
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Encefalitis / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Encefalitis / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: China