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Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning.
Hesse, Linde S; Aliasi, Moska; Moser, Felipe; Haak, Monique C; Xie, Weidi; Jenkinson, Mark; Namburete, Ana I L.
Afiliação
  • Hesse LS; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom. Electronic address: linde.hesse@seh.ox.ac.uk.
  • Aliasi M; Department of Obstetrics and Fetal Medicine, Leiden University Medical Center, The Netherlands.
  • Moser F; Department of Computer Science, University of Oxford, United Kingdom.
  • Haak MC; Department of Obstetrics and Fetal Medicine, Leiden University Medical Center, The Netherlands.
  • Xie W; Visual Geometry Group, Department of Engineering Science, University of Oxford, United Kingdom.
  • Jenkinson M; Wellcome center for Integrative NeuroImaging, FMRIB, University of Oxford, United Kingdom; Australian Institute for Machine Learning (AIML), Australia; South Australian Health and Medical Research Institute (SAHMRI), Australia.
  • Namburete AIL; Department of Computer Science, University of Oxford, United Kingdom.
Neuroimage ; 254: 119117, 2022 07 01.
Article em En | MEDLINE | ID: mdl-35331871
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Guideline Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Guideline Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article