Your browser doesn't support javascript.
loading
A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis.
Dikaios, Nikolaos; Atkinson, David; Tudisca, Chiara; Purpura, Pierpaolo; Forster, Martin; Ahmed, Hashim; Beale, Timothy; Emberton, Mark; Punwani, Shonit.
Afiliação
  • Dikaios N; Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. Electronic address: nd301@hotmail.co.uk.
  • Atkinson D; Centre for Medical Imaging, University College London, United Kingdom.
  • Tudisca C; Centre for Medical Imaging, University College London, United Kingdom.
  • Purpura P; Centre for Medical Imaging, University College London, United Kingdom.
  • Forster M; Department of Head and Neck Oncology, University College London Hospital, United Kingdom; Cancer Institute, University College London, United Kingdom.
  • Ahmed H; Department of Urology, University College London, London NW1 2 PG, United Kingdom.
  • Beale T; Department of Head and Neck Oncology, University College London Hospital, United Kingdom.
  • Emberton M; Department of Urology, University College London, London NW1 2 PG, United Kingdom.
  • Punwani S; Centre for Medical Imaging, University College London, United Kingdom; Department of Head and Neck Oncology, University College London Hospital, United Kingdom.
Comput Med Imaging Graph ; 56: 1-10, 2017 03.
Article em En | MEDLINE | ID: mdl-28192761

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Teorema de Bayes / Meios de Contraste / Neoplasias / Antineoplásicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Teorema de Bayes / Meios de Contraste / Neoplasias / Antineoplásicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article