Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Journal: JAMA ophthalmology
Published Date:

Abstract

IMPORTANCE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The decision to treat is primarily based on the presence of plus disease, defined as dilation and tortuosity of retinal vessels. However, clinical diagnosis of plus disease is highly subjective and variable.

Authors

  • James M Brown
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, MGH/Harvard Medical School, Charlestown, MA, United States.
  • J Peter Campbell
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.
  • Andrew Beers
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Ken Chang
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Susan Ostmo
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.
  • R V Paul Chan
    Ophthalmology, Illinois Eye and Ear Infirmary, Chicago, IL, United States.
  • Jennifer Dy
    Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts.
  • Deniz Erdogmus
    Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts.
  • Stratis Ioannidis
    Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts.
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts.
  • Michael F Chiang
    National Eye Institute, National Institutes of Health, Bethesda, Maryland.