Diagnostic performance of deep-learning-based screening methods for diabetic retinopathy in primary care-A meta-analysis.
<h4>Background</h4>Diabetic retinopathy (DR) affects 10-24% of patients with diabetes mellitus type 1 or 2 in the primary care (PC) sector. As early detection is crucial for treatment, deep learning screening methods in PC setting could potentially aid in an accurate and timely diagnosis...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/bc6fd489bd594fc7aeafbd9d7a999f11 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|