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Characterizing breast masses using an integrative framework of machine learning and CEUS-based radiomics.
Varghese, Bino A; Lee, Sandy; Cen, Steven; Talebi, Amir; Mohd, Passant; Stahl, Daniel; Perkins, Melissa; Desai, Bhushan; Duddalwar, Vinay A; Larsen, Linda H.
Afiliação
  • Varghese BA; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA. bino.varghese@med.usc.edu.
  • Lee S; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Cen S; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Talebi A; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Mohd P; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Stahl D; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Perkins M; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Desai B; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Duddalwar VA; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
  • Larsen LH; Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
J Ultrasound ; 25(3): 699-708, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35040103
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mama / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mama / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article