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Multi-center analysis of machine-learning predicted dose parameters in brachytherapy for cervical cancer.
Reijtenbagh, Dominique; Godart, Jérémy; de Leeuw, Astrid; Seppenwoolde, Yvette; Jürgenliemk-Schulz, Ina; Mens, Jan-Willem; Nout, Remi; Hoogeman, Mischa.
Affiliation
  • Reijtenbagh D; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands. Electronic address: d.reijtenbach@erasmusmc.nl.
  • Godart J; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • de Leeuw A; Department of Radiation Oncology, University Medical Centre Utrecht, The Netherlands.
  • Seppenwoolde Y; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Jürgenliemk-Schulz I; Department of Radiation Oncology, University Medical Centre Utrecht, The Netherlands.
  • Mens JW; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Nout R; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Hoogeman M; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands; Department of Medical Physics & Informatics, HollandPTC, Delft, The Netherlands.
Radiother Oncol ; 170: 169-175, 2022 05.
Article in En | MEDLINE | ID: mdl-35219799

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brachytherapy / Uterine Cervical Neoplasms Type of study: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Radiother Oncol Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brachytherapy / Uterine Cervical Neoplasms Type of study: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Radiother Oncol Year: 2022 Document type: Article