Detecting the corneal neovascularisation area using artificial intelligence.

Journal: The British journal of ophthalmology
Published Date: May 21, 2024

Abstract

AIMS: To create and assess the performance of an artificial intelligence-based image analysis tool for the measurement and quantification of the corneal neovascularisation (CoNV) area.

Authors

  • Burak Mergen
    Department of Ophthalmology, Saarland University Medical Center (UKS), Homburg, Saarland, Germany burakmergen@gmail.com.
  • Tarek Safi
    Department of Ophthalmology, Saarland University Medical Center (UKS), Homburg, Saarland, Germany.
  • Matthias Nadig
    Saarland Informatics Campus, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Saarland, Germany.
  • Gopal Bhattrai
    Saarland Informatics Campus, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Saarland, Germany.
  • Loay Daas
    Department of Ophthalmology, Saarland University Medical Center (UKS), Homburg, Saarland, Germany.
  • Jan Alexandersson
    Saarland Informatics Campus, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Saarland, Germany.
  • Berthold Seitz
    Department of Ophthalmology, Saarland University Medical Center UKS, Homburg, Saar, Germany.

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