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Enhancement of instrumented ultrasonic tracking images using deep learning.
Maneas, Efthymios; Hauptmann, Andreas; Alles, Erwin J; Xia, Wenfeng; Noimark, Sacha; David, Anna L; Arridge, Simon; Desjardins, Adrien E.
Afiliação
  • Maneas E; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, W1W 7TY, UK. efthymios.maneas@ucl.ac.uk.
  • Hauptmann A; Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK. efthymios.maneas@ucl.ac.uk.
  • Alles EJ; Department of Computer Science, University College London, London, WC1E 6BT, UK.
  • Xia W; Research Unit of Mathematical Sciences, University of Oulu, FI-90014, Oulu, Finland.
  • Noimark S; Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
  • David AL; Department of Computer Science, University College London, London, WC1E 6BT, UK.
  • Arridge S; School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
  • Desjardins AE; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, W1W 7TY, UK.
Int J Comput Assist Radiol Surg ; 18(2): 395-399, 2023 Feb.
Article em En | MEDLINE | ID: mdl-36057759
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article