Deep learning model to identify homonymous defects on automated perimetry

Conclusion
This newly developed deep learning model achieved an overall average accuracy of 87%, making it highly effective in identifying homonymous VF defects on automated perimetry.

Source: British Journal of Ophthalmology - September 21, 2023 Category: Opthalmology Authors: Tan, A. H., Donaldson, L., Moolla, L., Pereira, A., Margolin, E. Tags: Original articles - Clinical science Source Type: research