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Development and Validation of a Combined MRI Radiomics, Imaging and Clinical Parameter-Based Machine Learning Model for Identifying Idiopathic Central Precocious Puberty in Girls.
Zou, Pinfa; Zhang, Lingfeng; Zhang, Ruifang; Wang, Chenyan; Lin, XingTong; Lai, Can; Lu, Yi; Yan, Zhihan.
Afiliação
  • Zou P; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zhang L; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zhang R; Department of Radiology, Children's hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
  • Wang C; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Lin X; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Lai C; Department of Radiology, Children's hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
  • Lu Y; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Yan Z; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
J Magn Reson Imaging ; 58(6): 1977-1987, 2023 12.
Article em En | MEDLINE | ID: mdl-36995000
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Puberdade Precoce Tipo de estudo: Guideline / Prognostic_studies Limite: Child / Female / Humans Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Puberdade Precoce Tipo de estudo: Guideline / Prognostic_studies Limite: Child / Female / Humans Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China