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Technical Note: 3D localization of lung tumors on cone beam CT projections via a convolutional recurrent neural network.
Wang, Chuang; Hunt, Margie; Zhang, Lei; Rimner, Andreas; Yorke, Ellen; Lovelock, Michael; Li, Xiang; Li, Tianfang; Mageras, Gig; Zhang, Pengpeng.
Afiliación
  • Wang C; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Hunt M; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Zhang L; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Rimner A; Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Yorke E; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Lovelock M; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Li X; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Li T; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Mageras G; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Zhang P; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
Med Phys ; 47(3): 1161-1166, 2020 Mar.
Article en En | MEDLINE | ID: mdl-31899807
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Imagenología Tridimensional / Tomografía Computarizada de Haz Cónico / Neoplasias Pulmonares Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Med Phys Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Imagenología Tridimensional / Tomografía Computarizada de Haz Cónico / Neoplasias Pulmonares Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Med Phys Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos