Using Deep Learning to Segment Retinal Vascular Leakage and Occlusion in Retinal Vasculitis.

Journal: Ocular immunology and inflammation
PMID: 38261457

Abstract

PURPOSE: Retinal vasculitis (RV) is characterised by retinal vascular leakage, occlusion or both on fluorescein angiography (FA). There is no standard scheme available to segment RV features. We aimed to develop a deep learning model to segment both vascular leakage and occlusion in RV.

Authors

  • Dhanach Dhirachaikulpanich
    Department of Eye & Vision Sciences, University of Liverpool, Liverpool, UK.
  • Jianyang Xie
    Department of Eye & Vision Sciences, University of Liverpool, Liverpool, UK.
  • Xiuju Chen
    Xiamen Eye Center, Xiamen University, Xiamen, Fujian, China.
  • Xiaoxin Li
    Basic Experimental Center of Natural Science, University of Science and Technology Beijing, Beijing 100083, P. R. China.
  • Savita Madhusudhan
    Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
  • Yalin Zheng
    Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom.
  • Nicholas A V Beare
    Department of Eye & Vision Sciences, University of Liverpool, Liverpool, UK.

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