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Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.
Sagreiya, Hersh; Akhbardeh, Alireza; Li, Dandan; Sigrist, Rosa; Chung, Benjamin I; Sonn, Geoffrey A; Tian, Lu; Rubin, Daniel L; Willmann, Jürgen K.
Affiliation
  • Sagreiya H; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Akhbardeh A; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Li D; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Sigrist R; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Chung BI; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Sonn GA; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Tian L; Department of Health, Research & Policy, Stanford University, Stanford, CA, USA.
  • Rubin DL; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA; Department of Medicine (Biomedical Informatics Research), Stanford University, Stanford, CA, USA. Electronic address: dlrubin@stanford.ed
  • Willmann JK; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Ultrasound Med Biol ; 45(8): 1944-1954, 2019 08.
Article in En | MEDLINE | ID: mdl-31133445
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Interpretation, Computer-Assisted / Carcinoma, Renal Cell / Angiomyolipoma / Elasticity Imaging Techniques / Machine Learning / Kidney Neoplasms Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Ultrasound Med Biol Year: 2019 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Interpretation, Computer-Assisted / Carcinoma, Renal Cell / Angiomyolipoma / Elasticity Imaging Techniques / Machine Learning / Kidney Neoplasms Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Ultrasound Med Biol Year: 2019 Document type: Article Affiliation country: Country of publication: