Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: The objective of the study is to develop deep learning models using synthetic fundus images to assess the direction (intorsion versus extorsion) and amount (physiologic versus pathologic) of static ocular torsion. Static ocular torsion assessment is an important clinical tool for classifying vertical ocular misalignment; however, current methods are time-intensive with steep learning curves for frontline providers.

Authors

  • Chen Wang
    Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Yunong Bai
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Ashley Tsang
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Yuhan Bian
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Yifan Gou
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Yan X Lin
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Matthew Zhao
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Tony Y Wei
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Jacob M Desman
    Johns Hopkins University Department of Biomedical Engineering, Baltimore, MD, USA.
  • Casey Overby Taylor
    Johns Hopkins Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, United States of America.
  • Joseph L Greenstein
    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Jorge Otero-Millan
    Optometry and Vision Science, University of California, Berkeley, Berkeley, California.
  • Tin Yan Alvin Liu
    Wilmer Eye Institute, Johns Hopkins Hospital, Baltimore, Maryland, USA.
  • Amir Kheradmand
    Johns Hopkins University School of Medicine, Department of Neurology, Baltimore, MD, USA.
  • David S Zee
    Department of Neurology, Johns Hopkins University, Baltimore, MD, United States.
  • Kemar E Green
    Johns Hopkins University School of Medicine, Department of Neurology, Baltimore, MD, USA.