Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2.

Journal: The British journal of ophthalmology
PMID:

Abstract

AIM: To develop a fully automatic algorithm to segment retinal cavitations on optical coherence tomography (OCT) images of macular telangiectasia type 2 (MacTel2).

Authors

  • Jessica Loo
    Department of Biomedical Engineering, Duke University, Durham, North Carolina.
  • Cindy X Cai
    Ophthalmology, Duke Medicine, Durham, North Carolina, USA.
  • John Choong
    Ophthalmology, Duke Medicine, Durham, North Carolina, USA.
  • Emily Y Chew
    National Eye Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: echew@nei.nih.gov.
  • Martin Friedlander
    Department of Molecular Medicine, The Scripps Research Institute, La Jolla, California, USA.
  • Glenn J Jaffe
    Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.
  • Sina Farsiu
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.