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  • [\'Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.\', \'NIHR Oxford Biomedical Research Centre, Oxford, Oxfordshire, UK.\', \'Nuffield Department of Surgical Sciences, Oxford University, Oxford, Oxfordshire, UK.\', \'School of Medicine, University of Nottingham, Nottingham, Nottinghamshire, UK.\', \'Tissue Image Analytics Laboratory, Department of Computer Science, University of Warwick, Coventry, West Midlands, UK.\', \'Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, West Midlands, UK.\', \'Department of Engineering Science and Big Data Institute, Oxford University, Oxford, Oxfordshire, UK.\', \'Precision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen\'s University Belfast, Belfast, Belfast, UK.\', \'Cellular Pathology, Belfast Health and Social Care Trust, Belfast, Belfast, UK.\', \'NIHR Oxford Biomedical Research Centre, Oxford, Oxfordshire, UK Clare.Verrill@OUH.nhs.uk.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1136/jclinpath-2020-206854
?:doi
?:hasPublicationType
?:journal
  • Journal of clinical pathology
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?:pmid
?:pmid
  • 32620678
?:publication_isRelatedTo_Disease
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  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective.
?:type
?:year
  • 2021

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