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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.
Browning, Lisa; Colling, Richard; Rakha, Emad; Rajpoot, Nasir; Rittscher, Jens; James, Jacqueline A; Salto-Tellez, Manuel; Snead, David R J; Verrill, Clare.
Afiliação
  • Browning L; Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Colling R; NIHR Oxford Biomedical Research Centre, Oxford, Oxfordshire, UK.
  • Rakha E; Nuffield Department of Surgical Sciences, Oxford University, Oxford, Oxfordshire, UK.
  • Rajpoot N; School of Medicine, University of Nottingham, Nottingham, Nottinghamshire, UK.
  • Rittscher J; Tissue Image Analytics Laboratory, Department of Computer Science, University of Warwick, Coventry, West Midlands, UK.
  • James JA; Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, West Midlands, UK.
  • Salto-Tellez M; NIHR Oxford Biomedical Research Centre, Oxford, Oxfordshire, UK.
  • Snead DRJ; Department of Engineering Science and Big Data Institute, Oxford University, Oxford, Oxfordshire, UK.
  • Verrill C; Precision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Belfast, UK.
J Clin Pathol ; 74(7): 443-447, 2021 Jul.
Article em En | MEDLINE | ID: mdl-32620678

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Patologia Clínica / Processamento de Imagem Assistida por Computador / Inteligência Artificial / COVID-19 Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Patologia Clínica / Processamento de Imagem Assistida por Computador / Inteligência Artificial / COVID-19 Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article