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Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer.
Rigaud, Bastien; Anderson, Brian M; Yu, Zhiqian H; Gobeli, Maxime; Cazoulat, Guillaume; Söderberg, Jonas; Samuelsson, Elin; Lidberg, David; Ward, Christopher; Taku, Nicolette; Cardenas, Carlos; Rhee, Dong Joo; Venkatesan, Aradhana M; Peterson, Christine B; Court, Laurence; Svensson, Stina; Löfman, Fredrik; Klopp, Ann H; Brock, Kristy K.
Afiliação
  • Rigaud B; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: BSRigaud@mdanderson.org.
  • Anderson BM; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Yu ZH; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Gobeli M; Polyclinique Bordeaux Nord Aquitaine, Bordeaux, France.
  • Cazoulat G; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Söderberg J; RaySearch Laboratories, Stockholm, Sweden.
  • Samuelsson E; RaySearch Laboratories, Stockholm, Sweden.
  • Lidberg D; RaySearch Laboratories, Stockholm, Sweden.
  • Ward C; RaySearch Laboratories, Stockholm, Sweden.
  • Taku N; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Cardenas C; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Rhee DJ; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Venkatesan AM; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Peterson CB; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Court L; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Svensson S; RaySearch Laboratories, Stockholm, Sweden.
  • Löfman F; RaySearch Laboratories, Stockholm, Sweden.
  • Klopp AH; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Brock KK; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Int J Radiat Oncol Biol Phys ; 109(4): 1096-1110, 2021 03 15.
Article em En | MEDLINE | ID: mdl-33181248
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias do Colo do Útero / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias do Colo do Útero / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article