A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.

Journal: PloS one
PMID:

Abstract

BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or hemi-retinal vein occlusion in SCORE2 treated with anti-vascular endothelial growth factor agents.

Authors

  • Tyler Etheridge
    Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America.
  • Ellen T A Dobson
    Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, United States of America.
  • Marcel Wiedenmann
    KNIME GmbH, Konstanz, Germany.
  • Chandana Papudesu
    Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America.
  • Ingrid U Scott
    Departments of Ophthalmology and Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States of America.
  • Michael S Ip
    Doheny Eye Institute, University of California Los Angeles Stein Eye Institute, Los Angeles, CA, United States of America.
  • Kevin W Eliceiri
    Center for Multiparametric Imaging of Tumor Immune Microenvironments, University of Minnesota and University of Wisconsin-Madison; Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI.
  • Barbara A Blodi
    Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America.
  • Amitha Domalpally
    Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America.