J Neuroophthalmol 2021 Sep;41(3):368-374
Department of Ophthalmology (TYAL, NRM), Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland; Department of Biomedical Engineering (JW), Johns Hopkins University, Baltimore, Maryland; Malone Center for Engineering in Healthcare (HZ, MU), Johns Hopkins University, Baltimore, Maryland; Department of Radiology (PHY, FKH), Johns Hopkins University, Baltimore, Maryland; Singapore Eye Research Institute (DSWT), Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore; Department of Ophthalmology (PSS), University of Colorado School of Medicine, Aurora, Colorado; and Department of Ophthalmology (DM), Byers Eye Institute, Stanford University, Palo Alto, California.
Background: To date, deep learning-based detection of optic disc abnormalities in color fundus photographs has mostly been limited to the field of glaucoma. However, many life-threatening systemic and neurological conditions can manifest as optic disc abnormalities. In this study, we aimed to extend the application of deep learning (DL) in optic disc analyses to detect a spectrum of nonglaucomatous optic neuropathies. Read More