Your browser doesn't support javascript.
loading
Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT.
Elmohr, M M; Fuentes, D; Habra, M A; Bhosale, P R; Qayyum, A A; Gates, E; Morshid, A I; Hazle, J D; Elsayes, K M.
Afiliación
  • Elmohr MM; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Fuentes D; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Habra MA; Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Bhosale PR; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Qayyum AA; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Gates E; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Morshid AI; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Hazle JD; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Elsayes KM; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: kmelsayes@mdanderson.org.
Clin Radiol ; 74(10): 818.e1-818.e7, 2019 Oct.
Article en En | MEDLINE | ID: mdl-31362884
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Neoplasias de las Glándulas Suprarrenales / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Neoplasias de las Glándulas Suprarrenales / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos