Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images.

Journal: The British journal of ophthalmology
PMID:

Abstract

BACKGROUND/AIMS: Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angle-closure glaucoma.

Authors

  • Tan Hung Pham
    Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
  • Sripad Krishna Devalla
    Ophthalmic Engineering and Innovation Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
  • Aloysius Ang
    Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Zhi-Da Soh
    Ocular Epidemiology Research Group, Singapore Eye Research Institute, Singapore.
  • Alexandre H Thiéry
    Department of Statistics and Applied Probability, National University of Singapore, Singapore.
  • Craig Boote
    Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
  • Ching-Yu Cheng
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
  • Michaël J A Girard
    Ophthalmic Engineering and Innovation Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
  • Victor Koh
    Department of Ophthalmology, National University Hospital, Singapore mgirard@ophthalmic.engineering victor_koh@nuhs.edu.sg.