Your browser doesn't support javascript.
loading
Quantitative Contour Analysis as an Image-based Discriminator Between Benign and Malignant Renal Tumors.
Yap, Felix Y; Hwang, Darryl H; Cen, Steven Y; Varghese, Bino A; Desai, Bhushan; Quinn, Brian D; Gupta, Megha Nayyar; Rajarubendra, Nieroshan; Desai, Mihir M; Aron, Manju; Liang, Gangning; Aron, Monish; Gill, Inderbir S; Duddalwar, Vinay A.
Afiliación
  • Yap FY; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA. Electronic address: felix.yap@med.usc.edu.
  • Hwang DH; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Cen SY; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Varghese BA; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Desai B; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Quinn BD; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Gupta MN; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Rajarubendra N; Institute of Urology and the Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Desai MM; Institute of Urology and the Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Aron M; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Liang G; Institute of Urology and the Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Aron M; Institute of Urology and the Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Gill IS; Institute of Urology and the Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Duddalwar VA; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Urology ; 114: 121-127, 2018 Apr.
Article en En | MEDLINE | ID: mdl-29305199
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Carcinoma de Células Renales / Angiomiolipoma / Adenoma Oxifílico / Neoplasias Renales Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Urology Año: 2018 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Carcinoma de Células Renales / Angiomiolipoma / Adenoma Oxifílico / Neoplasias Renales Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Urology Año: 2018 Tipo del documento: Article