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Image-based quantitative analysis of tear film lipid layer thickness for meibomian gland evaluation.

Hyeonha HwangHee-Jae JeonKin Choong YowHo Sik HwangEuiheon Chung
Published in: Biomedical engineering online (2017)
We developed an image-based algorithm for quantitative measurement as well as statistical analysis of the LLT despite fluctuation and eye movement. This pilot study demonstrates that the quantitative LLT analysis of patients is consistent with the functions of meibomian glands clinically evaluated by an ophthalmologist. This approach is a significant step forward in developing a fully automated instrument for evaluating dry eye syndrome and for providing proper guidance of treatment.
Keyphrases
  • deep learning
  • machine learning
  • high resolution
  • optical coherence tomography
  • room temperature
  • combination therapy
  • patient reported outcomes
  • replacement therapy
  • smoking cessation