Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs

Abstract

DL is capable of predicting key quantitative TD-OCT measurements related to MT from CFPs. The DL models presented here could enhance the efficiency of DME diagnosis in tele-ophthalmology programs, promoting better visual outcomes. Future research is needed to validate DL algorithms for MT in the real-world.