Predicting Visual Fields From Optical Coherence Tomography via an Ensemble of Deep Representation Learners.
Lazaridis Georgios, Montesano Giovanni, Afgeh Saman Sadeghi, Mohamed-Noriega Jibran, Ourselin Sebastien, Lorenzi Marco et al.
A deep learning model using OCT images and RNFLT accurately predicted visual field sensitivity in glaucoma patients. This method outperformed others, offering a promising, non-invasive way to estimate visual function from OCT.