Automated identification of fleck lesions in Stargardt disease using deep learning enhances lesion detection sensitivity and enables morphometric analysis of flecks.

Journal: The British journal of ophthalmology
Published Date:

Abstract

PURPOSE: To classify fleck lesions and assess artificial intelligence (AI) in identifying flecks in Stargardt disease (STGD).

Authors

  • Jasdeep Sabharwal
    Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Tin Yan Alvin Liu
    Wilmer Eye Institute, Johns Hopkins Hospital, Baltimore, Maryland, USA.
  • Bani Antonio-Aguirre
    Universidad Panamericana. Facultad De Ciencias De La Salud. Ciudad De México, México.
  • Mya Abousy
    Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Tapan Patel
    Johns Hopkins Wilmer Eye Institute, Baltimore, Maryland, USA.
  • Cindy X Cai
    Ophthalmology, Duke Medicine, Durham, North Carolina, USA.
  • Craig K Jones
    2Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore; and.
  • Mandeep S Singh
    Wilmer Eye Institute, Johns Hopkins Hospital, Baltimore, Maryland, USA singhcorrespauth@gmail.com.