Article info

Original research
Diagnostic accuracy of code-free deep learning for detection and evaluation of posterior capsule opacification

Authors

  • Josef Huemer Department of Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UKNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK PubMed articlesGoogle scholar articles
  • Martin Kronschläger VIROS-Vienna Institute for Research in Ocular Surgery, a Karl Landsteiner Institute, Hanusch Hospital, Vienna, Austria PubMed articlesGoogle scholar articles
  • Manuel Ruiss VIROS-Vienna Institute for Research in Ocular Surgery, a Karl Landsteiner Institute, Hanusch Hospital, Vienna, Austria PubMed articlesGoogle scholar articles
  • Dawn Sim Department of Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK PubMed articlesGoogle scholar articles
  • Pearse A Keane Department of Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UKNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UKInstitute of Ophthalmology, UCL, London, UK PubMed articlesGoogle scholar articles
  • Oliver Findl VIROS-Vienna Institute for Research in Ocular Surgery, a Karl Landsteiner Institute, Hanusch Hospital, Vienna, Austria PubMed articlesGoogle scholar articles
  • Siegfried K Wagner Department of Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UKNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UKInstitute of Ophthalmology, UCL, London, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Siegfried K Wagner; S.wagner{at}ucl.ac.uk
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Citation

Huemer J, Kronschläger M, Ruiss M, et al
Diagnostic accuracy of code-free deep learning for detection and evaluation of posterior capsule opacification

Publication history

  • Received February 8, 2022
  • Accepted May 9, 2022
  • First published May 23, 2022.
Online issue publication 
September 30, 2023
  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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