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A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery.
Knoops, Paul G M; Papaioannou, Athanasios; Borghi, Alessandro; Breakey, Richard W F; Wilson, Alexander T; Jeelani, Owase; Zafeiriou, Stefanos; Steinbacher, Derek; Padwa, Bonnie L; Dunaway, David J; Schievano, Silvia.
Afiliación
  • Knoops PGM; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Papaioannou A; Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.
  • Borghi A; Department of Plastic and Oral Surgery, Boston Children's Hospital & Harvard School of Dental Medicine, Boston, MA, USA.
  • Breakey RWF; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Wilson AT; Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.
  • Jeelani O; Department of Computing, Imperial College London, London, UK.
  • Zafeiriou S; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Steinbacher D; Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.
  • Padwa BL; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Dunaway DJ; Craniofacial Unit, Great Ormond Street Hospital for Children, London, UK.
  • Schievano S; Department of Plastic and Reconstructive Surgery, Yale University School of Medicine, New Haven, CT, USA.
Sci Rep ; 9(1): 13597, 2019 09 19.
Article en En | MEDLINE | ID: mdl-31537815

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Procedimientos Quirúrgicos Ortognáticos Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Procedimientos Quirúrgicos Ortognáticos Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido
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