Quantifying Geographic Atrophy in Age-Related Macular Degeneration: A Comparative Analysis Across 12 Deep Learning Models.

Journal: Investigative ophthalmology & visual science
PMID:

Abstract

PURPOSE: AI algorithms have shown impressive performance in segmenting geographic atrophy (GA) from fundus autofluorescence (FAF) images. However, selection of artificial intelligence (AI) architecture is an important variable in model development. Here, we explore 12 distinct AI architecture combinations to determine the most effective approach for GA segmentation.

Authors

  • Apoorva Safai
    A-EYE Research Unit, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States.
  • Colin Froines
    From the Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Robert Slater
    A-EYE Research Unit, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States.
  • Rachel E Linderman
    A-EYE Research Unit, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States.
  • Jacob Bogost
    A-EYE Research Unit, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States.
  • Caleb Pacheco
    A-EYE Research Unit, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States.
  • Rickie Voland
    Wisconsin Reading Center, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States.
  • Jeong Pak
    Wisconsin Reading Center, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States.
  • Pallavi Tiwari
    Department of Radiology, University of Wisconsin, Madison, WI, USA.
  • Roomasa Channa
    Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, WI.
  • Amitha Domalpally
    Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America.