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A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.
Yang, Liping; Xu, Panpan; Zhang, Ying; Cui, Nan; Wang, Menglu; Peng, Mengye; Gao, Chao; Wang, Tianzuo.
Afiliación
  • Yang L; PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Xu P; PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Zhang Y; PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Cui N; PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Wang M; PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Peng M; PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Gao C; Medical Imaging Department, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang T; Medical Imaging Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China. agntwz@126.com.
Neuroradiology ; 64(7): 1373-1382, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35037985
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Meníngeas / Meningioma Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Neuroradiology Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Meníngeas / Meningioma Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Neuroradiology Año: 2022 Tipo del documento: Article País de afiliación: China