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Performance of artificial intelligence for detection of subtle and advanced colorectal neoplasia.
Ahmad, Omer F; González-Bueno Puyal, Juana; Brandao, Patrick; Kader, Rawen; Abbasi, Faisal; Hussein, Mohamed; Haidry, Rehan J; Toth, Daniel; Mountney, Peter; Seward, Ed; Vega, Roser; Stoyanov, Danail; Lovat, Laurence B.
Afiliación
  • Ahmad OF; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London.
  • González-Bueno Puyal J; Division of Surgery and Interventional Sciences, University College London, London, UK.
  • Brandao P; Gastrointestinal Services, University College London Hospital, London, UK.
  • Kader R; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London.
  • Abbasi F; Odin Vision Ltd, London, UK.
  • Hussein M; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London.
  • Haidry RJ; Odin Vision Ltd, London, UK.
  • Toth D; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London.
  • Mountney P; Division of Surgery and Interventional Sciences, University College London, London, UK.
  • Seward E; Division of Surgery and Interventional Sciences, University College London, London, UK.
  • Vega R; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London.
  • Stoyanov D; Division of Surgery and Interventional Sciences, University College London, London, UK.
  • Lovat LB; Division of Surgery and Interventional Sciences, University College London, London, UK.
Dig Endosc ; 34(4): 862-869, 2022 May.
Article en En | MEDLINE | ID: mdl-34748665
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Pólipos del Colon Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Dig Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Pólipos del Colon Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Dig Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article