Browsing by Subject "Diabetic retinopathy"
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A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
( Springer Verlag , 2018 , Conference Paper)Automated Diabetic Retinopathy (DR) screening methods with high accuracy have the strong potential to assist doctors in evaluating more patients and quickly routing those who need help to a specialist. In this work, we ... -
An active learning method for diabetic retinopathy classification with uncertainty quantification
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)In recent years, deep learning (DL) techniques have provided state-of-the-art performance in medical imaging. However, good quality (annotated) medical data is in general hard to find due to the usually high cost of medical ... -
Pigment epithelium-derived factor inhibits retinal microvascular dysfunction induced by 12/15-lipoxygenase-derived eicosanoids
( Elsevier , 2015 , Article)We recently demonstrated that 12/15-lipoxygenase (LOX) derived metabolites, hydroxyeicosatetraenoic acids (HETEs), contribute to diabetic retinopathy (DR) via NADPH oxidase (NOX) and disruption of the balance in retinal ... -
Retinopathy of Type 1 Diabetes in Arab Countries: Systematic Review and Meta-Analysis.
( Karger , 2018 , Article Review)To conduct a systematic review and meta-analysis of retinopathy prevalence in patients with type 1 diabetes (T1D) in 22 Arab countries. We systematically searched 4 different literature databases (PubMed, Science Direct, ... -
Smartphone-based diabetic retinopathy severity classification using convolution neural networks
( Springer , 2021 , Conference Paper)With diabetes growing at an alarming rate, changes in the retina causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best way to provide good ...