Using Deep Learning to Automate Goldmann Applanation Tonometry Readings.

Journal: Ophthalmology
PMID: 32344074

Abstract

PURPOSE: To develop an objective and automated method for measuring intraocular pressure using deep learning and fixed-force Goldmann applanation tonometry (GAT) techniques.

Authors

  • Ted Spaide
    University of Washington, Seattle, Washington, USA.
  • Yue Wu
    Key Laboratory of Luminescence and Real-Time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China.
  • Ryan T Yanagihara
  • Shu Feng
    University of Washington, Seattle, Washington, USA.
  • Omar Ghabra
    Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Jonathan S Yi
    Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Philip P Chen
    Department of Ophthalmology, University of Washington, Seattle, WA, United States of America.
  • Francy Moses
    Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Aaron Y Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Joanne C Wen
    Department of Ophthalmology, University of Washington, Seattle, WA, United States of America.

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