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Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Dawood, Tareen; Chen, Chen; Sidhu, Baldeep S; Ruijsink, Bram; Gould, Justin; Porter, Bradley; Elliott, Mark K; Mehta, Vishal; Rinaldi, Christopher A; Puyol-Antón, Esther; Razavi, Reza; King, Andrew P.
Afiliação
  • Dawood T; School of Biomedical Engineering & Imaging Sciences, King's College London, UK. Electronic address: tareen.dawood@kcl.ac.uk.
  • Chen C; BioMedIA Group, Department of Computing, Imperial College London, UK.
  • Sidhu BS; School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Guy's and St Thomas' Hospital, London, UK.
  • Ruijsink B; School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Guy's and St Thomas' Hospital, London, UK.
  • Gould J; School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Guy's and St Thomas' Hospital, London, UK.
  • Porter B; School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Guy's and St Thomas' Hospital, London, UK.
  • Elliott MK; School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Guy's and St Thomas' Hospital, London, UK.
  • Mehta V; School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Guy's and St Thomas' Hospital, London, UK.
  • Rinaldi CA; School of Biomedical Engineering & Imaging Sciences, King's College London, UK; Guy's and St Thomas' Hospital, London, UK.
  • Puyol-Antón E; School of Biomedical Engineering & Imaging Sciences, King's College London, UK.
  • Razavi R; School of Biomedical Engineering & Imaging Sciences, King's College London, UK.
  • King AP; School of Biomedical Engineering & Imaging Sciences, King's College London, UK.
Med Image Anal ; 88: 102861, 2023 08.
Article em En | MEDLINE | ID: mdl-37327613
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Aprendizado Profundo Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Aprendizado Profundo Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article