Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Clicks: 204
ID: 29332
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
63.7
/100
204 views
163 readers
Trending
AI Quality Assessment
Not analyzed
Reference Key |
rogers2019evaluationeye
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
---|---|
Authors | Rogers, T. |
Journal | eye (basingstoke) |
Year | 2019 |
DOI | 10.1038/s41433-019-0510-3 |
URL | |
Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.