You are here

  • Home
  • Archive
  • Volume 74, Issue 7
  • 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

Article info

Article menu

Download PDFPDF

XML
Review
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

Authors

  • Lisa Browning Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK NIHR Oxford Biomedical Research Centre, Oxford, Oxfordshire, UK PubMed articlesGoogle scholar articles
  • Richard Colling Nuffield Department of Surgical Sciences, Oxford University, Oxford, Oxfordshire, UK PubMed articlesGoogle scholar articles
  • Emad Rakha School of Medicine, University of Nottingham, Nottingham, Nottinghamshire, UK PubMed articlesGoogle scholar articles
  • Nasir Rajpoot 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 PubMed articlesGoogle scholar articles
  • Jens Rittscher NIHR Oxford Biomedical Research Centre, Oxford, Oxfordshire, UK Department of Engineering Science and Big Data Institute, Oxford University, Oxford, Oxfordshire, UK PubMed articlesGoogle scholar articles
  • Jacqueline A James 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 PubMed articlesGoogle scholar articles
  • Manuel Salto-Tellez 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 PubMed articlesGoogle scholar articles
  • David R J Snead Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, West Midlands, UK PubMed articlesGoogle scholar articles
  • Clare Verrill NIHR Oxford Biomedical Research Centre, Oxford, Oxfordshire, UK Nuffield Department of Surgical Sciences, Oxford University, Oxford, Oxfordshire, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Associate Professor Clare Verrill, Nuffield Department of Surgical Sciences, Oxford University, John Radcliffe Hospital, Oxford OX3 9DU, UK; Clare.Verrill{at}OUH.nhs.uk
View Full Text

Citation

Browning L, Colling R, Rakha E, et al
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
Journal of Clinical Pathology 2021;74:443-447.

Publication history

  • Received June 11, 2020
  • Accepted June 15, 2020
  • First published July 3, 2020.
Online issue publication 
June 18, 2021

Article Versions

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.