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Classification of renal tumour using convolutional neural networks to detect oncocytoma.
Pedersen, Mikkel; Andersen, Michael Brun; Christiansen, Henning; Azawi, Nessn H.
Afiliação
  • Pedersen M; Department of People and Technology (DPT), Roskilde University Universitetsvej 1, 4000, Roskilde, Denmark. Electronic address: mikkped@ruc.dk.
  • Andersen MB; Department of Radiology, Herlev-Gentofte University Hospital, Herlev Ringvej 75, 2700, Herlev, Denmark. Electronic address: michael.brun.andersen@regionh.dk.
  • Christiansen H; Department of People and Technology (DPT), Roskilde University Universitetsvej 1, 4000, Roskilde, Denmark. Electronic address: henning@ruc.dk.
  • Azawi NH; Department of Urology, Zealand University Hospital, Roskilde, Department of Clinical Medicine, Copenhagen University, Sygehusvej 10, 4000, Roskilde, Denmark. Electronic address: nesa@regionsjaelland.dk.
Eur J Radiol ; 133: 109343, 2020 Dec.
Article em En | MEDLINE | ID: mdl-33120238
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Adenoma Oxífilo / Neoplasias Renais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Adenoma Oxífilo / Neoplasias Renais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article