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Deep learning for identification of critical regions associated with toxicities after liver stereotactic body radiation therapy.
Ibragimov, Bulat; Toesca, Diego A S; Chang, Daniel T; Yuan, Yixuan; Koong, Albert C; Xing, Lei; Vogelius, Ivan R.
Afiliación
  • Ibragimov B; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
  • Toesca DAS; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Chang DT; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Yuan Y; Department of Electronic Engineering, City University of Hong Kong, Hong Kong.
  • Koong AC; Department of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas.
  • Xing L; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
  • Vogelius IR; Department of Oncology, Faulty of Health & Medical Sciences, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Med Phys ; 47(8): 3721-3731, 2020 Aug.
Article en En | MEDLINE | ID: mdl-32406531
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiocirugia / Carcinoma Hepatocelular / Aprendizaje Profundo / Neoplasias Hepáticas Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2020 Tipo del documento: Article País de afiliación: Dinamarca
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiocirugia / Carcinoma Hepatocelular / Aprendizaje Profundo / Neoplasias Hepáticas Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2020 Tipo del documento: Article País de afiliación: Dinamarca