Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy.

Journal: JAMA ophthalmology
PMID: 33377944

Abstract

IMPORTANCE: Adherence to screening for vision-threatening proliferative sickle cell retinopathy is limited among patients with sickle cell hemoglobinopathy despite guidelines recommending dilated fundus examinations beginning in childhood. An automated algorithm for detecting sea fan neovascularization from ultra-widefield color fundus photographs could expand access to rapid retinal evaluations to identify patients at risk of vision loss from proliferative sickle cell retinopathy.

Authors

  • Sophie Cai
    Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina, USA.
  • Felix Parker
    Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
  • Müller G Urias
    Wilmer Eye Institute, Johns Hopkins Hospital, Baltimore, MD, USA.
  • Morton F Goldberg
    Retina Division, Wilmer Eye Institute, The Johns Hopkins University School of Medicine and Hospital, Baltimore, Maryland.
  • Gregory D Hager
    Department of Computer Science, The Johns Hopkins University, 3400 N. Charles St., Malone Hall Room 340, Baltimore, MD, 21218, USA.
  • Adrienne W Scott
    Retina Division, Wilmer Eye Institute, The Johns Hopkins University School of Medicine and Hospital, Baltimore, Maryland.

Keywords

External Resources

Popular Topics
Recent Journals