Artificial intelligence in diabetic retinopathy: Bibliometric analysis
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications,Software
Reference42 articles.
1. Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: a systematic review and meta-analysis;Islam;Comput. Methods Programs Biomed.,2020
2. Global prevalence and major risk factors of diabetic retinopathy;Yau;Diabetes Care,2012
3. Diabetes microvascular complications-a clinical update;Khalil;Diabetes Metab. Syndr. Clin. Res. Rev.,2017
4. Prevalence of diabetic retinopathy in various ethnic groups: a worldwide perspective;Sivaprasad;Surv. Ophthalmol.,2012
5. Global estimates on the number of people blind or visually impaired by diabetic retinopathy: a meta-analysis from 1990 to 2010;Leasher;Diabetes Care,2016
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