JAMA· 2017Q1
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes
- 2,355citations
- Q1SCImago
- 2017year
Short summary
A deep learning system (DLS) demonstrated high performance in detecting referable diabetic retinopathy (AUC 0.936), vision-threatening diabetic retinopathy (AUC 0.958), possible glaucoma (AUC 0.942), and age-related macular degeneration (AMD) (AUC 0.931) using 494,661 retinal images from multiethnic diabetic populations.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Radiology, Nuclear Medicine and Imaging
Radiology, Nuclear Medicine and ImagingMedicine