Your browser doesn't support javascript.
loading
The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review.
Reiazi, Reza; Abbas, Engy; Famiyeh, Petra; Rezaie, Aria; Kwan, Jennifer Y Y; Patel, Tirth; Bratman, Scott V; Tadic, Tony; Liu, Fei-Fei; Haibe-Kains, Benjamin.
Afiliação
  • Reiazi R; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Abbas E; Joint Department of Medical Imaging, University of Toronto, Toronto, Canada.
  • Famiyeh P; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Rezaie A; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
  • Kwan JYY; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
  • Patel T; Techna Institute, University Health Network, Toronto, Ontario, Canada.
  • Bratman SV; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Tadic T; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Liu FF; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Haibe-Kains B; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Ontario Institute for Cancer Research, Toronto, Ontario, Canada; Department of Computer Science, University of Toronto, Toronto, On
Comput Biol Med ; 133: 104400, 2021 06.
Article em En | MEDLINE | ID: mdl-33930766

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

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