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Machine learning-based multiparametric magnetic resonance imaging radiomics model for distinguishing central neurocytoma from glioma of lateral ventricle.
Mo, Haizhu; Liang, Wen; Huang, Zhousan; Li, Xiaodan; Xiao, Xiang; Liu, Hao; He, Jianming; Xu, Yikai; Wu, Yuankui.
Afiliación
  • Mo H; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China.
  • Liang W; Department of Medical Imaging, Guangdong 999 Brain Hospital, Guangzhou, China.
  • Huang Z; Department of Medical Imaging, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
  • Li X; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China.
  • Xiao X; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China.
  • Liu H; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China.
  • He J; Yizhun Medical AI Co. Ltd., Beijing, China.
  • Xu Y; Yizhun Medical AI Co. Ltd., Beijing, China.
  • Wu Y; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China. yikai.xu@163.com.
Eur Radiol ; 33(6): 4259-4269, 2023 Jun.
Article en En | MEDLINE | ID: mdl-36547672

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neurocitoma / Imágenes de Resonancia Magnética Multiparamétrica / Glioma Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neurocitoma / Imágenes de Resonancia Magnética Multiparamétrica / Glioma Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China