Segmentation and Evaluation of Corneal Nerves and Dendritic Cells From In Vivo Confocal Microscopy Images Using Deep Learning.

Journal: Translational vision science & technology
PMID: 35762938

Abstract

PURPOSE: Segmentation and evaluation of in vivo confocal microscopy (IVCM) images requires manual intervention, which is time consuming, laborious, and non-reproducible. The aim of this research was to develop and validate deep learning-based methods that could automatically segment and evaluate corneal nerve fibers (CNFs) and dendritic cells (DCs) in IVCM images, thereby reducing processing time to analyze larger volumes of clinical images.

Authors

  • Md Asif Khan Setu
    Department of Ophthalmology, Faculty of Medicine, University Hospital Cologne, University of Cologne, 50937, Cologne, Germany.
  • Stefan Schmidt
    Heidelberg Engineering GmbH, 69115, Heidelberg, Germany.
  • Gwen Musial
    Department of Biomedical Engineering, University of Houston, Houston, TX, USA.
  • Michael E Stern
    Department of Ophthalmology, Faculty of Medicine, University Hospital Cologne, University of Cologne, 50937, Cologne, Germany.
  • Philipp Steven
    Department of Ophthalmology, Faculty of Medicine, University Hospital Cologne, University of Cologne, 50937, Cologne, Germany. philipp.steven@uk-koeln.de.

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