Fast and Accurate Ophthalmic Medication Bottle Identification Using Deep Learning on a Smartphone Device.

Journal: Ophthalmology. Glaucoma
Published Date:

Abstract

PURPOSE: To assess the accuracy and efficacy of deep learning models, specifically convolutional neural networks (CNNs), to identify glaucoma medication bottles.

Authors

  • Tammy T Tran
    Gavin Herbert Eye Institute, Department of Ophthalmology, UC Irvine School of Medicine, Irvine, California.
  • Alexander J W Richardson
    Gavin Herbert Eye Institute, Department of Ophthalmology, UC Irvine School of Medicine, Irvine, California.
  • Victoria M Chen
    Department of Computer Science, University of California, Irvine, California.
  • Ken Y Lin
    Gavin Herbert Eye Institute, Department of Ophthalmology, UC Irvine School of Medicine, Irvine, California; Department of Biomedical Engineering, University of California, Irvine, California. Electronic address: linky@hs.uci.edu.