Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
Abstract By 2040, ~100 million people will have glaucoma. To date, there are a lack of high-efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and evaluate the performance of ‘iGlaucoma’, a smartphone application-based deep learning system (DLS) in detecting glauco...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2020-09-01
|
Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-020-00329-9 |