A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images.

Journal: American journal of ophthalmology
PMID: 30849350

Abstract

PURPOSE: Anterior segment optical coherence tomography (AS-OCT) provides an objective imaging modality for visually identifying anterior segment structures. An automated detection system could assist ophthalmologists in interpreting AS-OCT images for the presence of angle closure.

Authors

  • Huazhu Fu
    A*STAR, Singapore, Singapore.
  • Mani Baskaran
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Yanwu Xu
    School of Future Technology, South China University of Technology, Guangzhou, Guangdong Province, China.
  • Stephen Lin
  • Damon Wing Kee Wong
  • Jiang Liu
    Department of Pharmacy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
  • Tin A Tun
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Meenakshi Mahesh
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Shamira A Perera
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore; EYE-ACP, Duke-NUS Medical School, Singapore.
  • Tin Aung
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.

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