Towards 'automated gonioscopy': a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography.

Journal: The British journal of ophthalmology
PMID: 33846160

Abstract

AIMS: To validate a deep learning (DL) algorithm (DLA) for 360° angle assessment on swept-source optical coherence tomography (SS-OCT) (CASIA SS-1000, Tomey Corporation, Nagoya, Japan).

Authors

  • Natalia Porporato
    Singapore Eye Research Institute/Singapore National Eye Centre, Singapore.
  • Tin A Tun
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Mani Baskaran
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Damon W K Wong
    Institute for Health Technologies, Nanyang Technological University, Singapore, Singapore. wongwingkee.damon@gmail.com.
  • Rahat Husain
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Duke-NUS Medical School, Singapore.
  • Huazhu Fu
    A*STAR, Singapore, Singapore.
  • Rehena Sultana
    Duke-NUS Graduate Medical School, Singapore.
  • Shamira Perera
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Leopold Schmetterer
    Singapore Eye Research Institute, Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Tin Aung
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.

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