Fundusscreening durch Assistenzpersonal
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology
Link
http://link.springer.com/content/pdf/10.1007/s00347-012-2649-1.pdf
Reference19 articles.
1. Al Sabti K, Raizada S, Wani VB et al (2003) Efficacy and reliability of fundus digital camera as a screening tool for diabetic retinopathy in Kuwait. J Diabetes Complications 17:229–233
2. Bean WB (1971) Retinal involvement in hereditary hemorrhagic telangiectasia. Arch Ophthalmol 86:726
3. Bean WB (1982) Personal reflections on clinical investigations. Annu Rev Nutr 2:1–20
4. Bernardes R, Serranho P, Lobo C (2011) Digital ocular fundus imaging: a review. Ophthalmologica 226:161–181
5. Ege BM, Hejlesen OK, Larsen OV et al (2000) Screening for diabetic retinopathy using computer based image analysis and statistical classification. Comput Methods Programs Biomed 62:165–175
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1. Diagnostic Accuracy of Artificial Intelligence-Based Automated Diabetic Retinopathy Screening in Real-World Settings: A Systematic Review and Meta-Analysis;American Journal of Ophthalmology;2024-07
2. Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification;Arquivos Brasileiros de Oftalmologia;2023
3. Diabetic Retinopathy Screening Ratio Is Improved When Using a Digital, Nonmydriatic Fundus Camera Onsite in a Diabetes Outpatient Clinic;Journal of Diabetes Research;2016
4. Comparison of Two Non-mydriatic Fundus Cameras to Obtain Retinal Arterio-venous Ratio;Ophthalmic Epidemiology;2014-08-13
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