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Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions.
Ahmad, Omer F; Soares, Antonio S; Mazomenos, Evangelos; Brandao, Patrick; Vega, Roser; Seward, Edward; Stoyanov, Danail; Chand, Manish; Lovat, Laurence B.
Afiliación
  • Ahmad OF; Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, UK; Gastrointestinal Services, University College London Hospital, London, UK. Electronic address: o.ahmad@ucl.ac.uk.
  • Soares AS; Division of Surgery & Interventional Science, University College London, London, UK.
  • Mazomenos E; Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, UK.
  • Brandao P; Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, UK.
  • Vega R; Gastrointestinal Services, University College London Hospital, London, UK.
  • Seward E; Gastrointestinal Services, University College London Hospital, London, UK.
  • Stoyanov D; Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, UK.
  • Chand M; Division of Surgery & Interventional Science, University College London, London, UK; Gastrointestinal Services, University College London Hospital, London, UK.
  • Lovat LB; Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, UK; Division of Surgery & Interventional Science, University College London, London, UK; Gastrointestinal Services, University College London Hospital, London, UK.
Lancet Gastroenterol Hepatol ; 4(1): 71-80, 2019 01.
Article en En | MEDLINE | ID: mdl-30527583
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Pólipos Intestinales / Diagnóstico por Computador / Colonoscopía / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Lancet Gastroenterol Hepatol Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Pólipos Intestinales / Diagnóstico por Computador / Colonoscopía / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Lancet Gastroenterol Hepatol Año: 2019 Tipo del documento: Article