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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.
Antonelli, Michela; Johnston, Edward W; Dikaios, Nikolaos; Cheung, King K; Sidhu, Harbir S; Appayya, Mrishta B; Giganti, Francesco; Simmons, Lucy A M; Freeman, Alex; Allen, Clare; Ahmed, Hashim U; Atkinson, David; Ourselin, Sebastien; Punwani, Shonit.
Afiliação
  • Antonelli M; Centre for Medical Image Computing, University College London, London, UK.
  • Johnston EW; School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
  • Dikaios N; Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
  • Cheung KK; Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
  • Sidhu HS; Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
  • Appayya MB; Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
  • Giganti F; Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
  • Simmons LAM; Department of Radiology, University College London Hospital, London, UK.
  • Freeman A; Division of Surgery and Interventional Science, University College London, London, UK.
  • Allen C; Division of Surgery and Interventional Science, University College London, London, UK.
  • Ahmed HU; Department of Pathology, University College London Hospital, London, UK.
  • Atkinson D; Department of Radiology, University College London Hospital, London, UK.
  • Ourselin S; Division of Surgery and Interventional Science, University College London, London, UK.
  • Punwani S; Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Eur Radiol ; 29(9): 4754-4764, 2019 Sep.
Article em En | MEDLINE | ID: mdl-31187216
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imagem de Difusão por Ressonância Magnética / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Alemanha
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imagem de Difusão por Ressonância Magnética / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Alemanha