Segmentation-Free OCT-Volume-Based Deep Learning Model Improves Pointwise Visual Field Sensitivity Estimation.

Journal: Translational vision science & technology
Published Date: Jun 1, 2023

Abstract

PURPOSE: The structural changes measured by optical coherence tomography (OCT) are related to functional changes in visual fields (VFs). This study aims to accurately assess the structure-function relationship and overcome the challenges brought by the minimal measurable level (floor effect) of segmentation-dependent OCT measurements commonly used in prior studies.

Authors

  • Zhiqi Chen
    MOE Key Lab for Intelligent Networks and Network Security, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
  • Eitan Shemuelian
    Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, USA.
  • Gadi Wollstein
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Yao Wang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Hiroshi Ishikawa
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Joel S Schuman
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.

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