Segmentation of laser induced retinal lesions using deep learning (December 2021).

Journal: Lasers in surgery and medicine
Published Date: Jul 3, 2022

Abstract

OBJECTIVE: Detection of retinal laser lesions is necessary in both the evaluation of the extent of damage from high power laser sources, and in validating treatments involving the placement of laser lesions. However, such lesions are difficult to detect using Color Fundus cameras alone. Deep learning-based segmentation can remedy this, by highlighting potential lesions in the image.

Authors

  • Eddie M Gil
    Department of Biomedical Engineering, Texas A&M University, College Station, Texas, USA.
  • Mark Keppler
    Department of Biomedical Engineering, Texas A&M University, College Station, Texas, USA.
  • Adam Boretsky
    SAIC, JBSA Fort Sam, Houston, Texas, USA.
  • Vladislav V Yakovlev
  • Joel N Bixler
    Air Force Research Laboratory, JBSA Fort Sam, Houston, Texas, USA.

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