A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary images.

Journal: Rheumatology (Oxford, England)
PMID:

Abstract

OBJECTIVES: Nailfold capillaroscopy is key to timely diagnosis of SSc, but is often not used in rheumatology clinics because the images are difficult to interpret. We aimed to develop and validate a fully automated image analysis system to fill this gap.

Authors

  • Praveen Gurunath Bharathi
    Centre for Imaging Sciences, Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK.
  • Michael Berks
    Centre for Imaging Sciences, Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK.
  • Graham Dinsdale
    Rheumatology Directorate, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK.
  • Andrea Murray
    Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
  • Joanne Manning
    Rheumatology Directorate, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK.
  • Sarah Wilkinson
    Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
  • Maurizio Cutolo
    Laboratory of Experimental Rheumatology and Academic Division of Clinical Rheumatology, Department of Internal Medicine, University of Genoa, IRCCS San Martino Polyclinic Hospital, Genoa, Italy.
  • Vanessa Smith
    Department of Internal Medicine, Ghent University, Ghent, Belgium.
  • Ariane L Herrick
    Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
  • Chris J Taylor
    Centre for Imaging Sciences, Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK.