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Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry.
Wahid, Kareem A; Ahmed, Sara; He, Renjie; van Dijk, Lisanne V; Teuwen, Jonas; McDonald, Brigid A; Salama, Vivian; Mohamed, Abdallah S R; Salzillo, Travis; Dede, Cem; Taku, Nicolette; Lai, Stephen Y; Fuller, Clifton D; Naser, Mohamed A.
Afiliación
  • Wahid KA; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Ahmed S; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • He R; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • van Dijk LV; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Teuwen J; Department of Medical Imaging, Radboud University Medical Centre, Nijmegen, The Netherlands.
  • McDonald BA; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Salama V; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Mohamed ASR; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Salzillo T; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Dede C; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Taku N; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Lai SY; Department of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Fuller CD; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
  • Naser MA; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA.
Clin Transl Radiat Oncol ; 32: 6-14, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34765748

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Transl Radiat Oncol Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Transl Radiat Oncol Año: 2022 Tipo del documento: Article