Your browser doesn't support javascript.
loading
Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation.
Puyol-Antón, Esther; Ruijsink, Bram; Mariscal Harana, Jorge; Piechnik, Stefan K; Neubauer, Stefan; Petersen, Steffen E; Razavi, Reza; Chowienczyk, Phil; King, Andrew P.
Affiliation
  • Puyol-Antón E; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Ruijsink B; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Mariscal Harana J; Department of Adult and Paediatric Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Piechnik SK; Division of Heart and Lungs, Department of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands.
  • Neubauer S; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Petersen SE; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Razavi R; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Chowienczyk P; National Institute for Health Research (NIHR) Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University London, London, United Kingdom.
  • King AP; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
Front Cardiovasc Med ; 9: 859310, 2022.
Article in En | MEDLINE | ID: mdl-35463778
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Cardiovasc Med Year: 2022 Type: Article Affiliation country: United kingdom
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Cardiovasc Med Year: 2022 Type: Article Affiliation country: United kingdom