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3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients.
Santucci, Domiziana; Faiella, Eliodoro; Cordelli, Ermanno; Sicilia, Rosa; de Felice, Carlo; Zobel, Bruno Beomonte; Iannello, Giulio; Soda, Paolo.
Afiliação
  • Santucci D; Department of Radiology, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
  • Faiella E; Department of Radiology, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
  • Cordelli E; Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
  • Sicilia R; Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
  • de Felice C; Department of Radiology, University of Rome "Sapienza", Viale del Policlinico, 155, 00161 Rome, Italy.
  • Zobel BB; Department of Radiology, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
  • Iannello G; Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
  • Soda P; Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome "Campus Bio-medico", Via Alvaro del Portillo, 21, 00128 Rome, Italy.
Cancers (Basel) ; 13(9)2021 May 06.
Article em En | MEDLINE | ID: mdl-34066451
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article